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Jobs Posted on the Whova Community Board of MLOps World: 3rd Annual Machine Learning in Production Summit 2022

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Software Development Engineer (AI/ML)
Amazon Web Services (AWS)
Are you passionate about solving customer problems at scale? Do you want to build and innovate to deliver software that will help customers more effectively solve business problems with Artificial Intelligence and Machine Learning? If you have a passion for helping transform and accelerate a customer’s ability to gain value from the cloud, join the AWS Solutions team!

The AWS AI/ML Solutions team helps customers solve problems by packaging AWS AI and ML services with real-world use cases. We are looking for a world-class software developer to build and develop solutions focused on helping jump-start customers’ cloud management capabilities. You will work with product managers, customers, and your team to deliver AWS Solutions, software assets and build an open-source community that drives AI/ML innovation on AWS.

Link: None
(Senior) Machine Learning Engineer
Rovio
The Games Technology team encompasses a whole host of data and analytics expertise areas, including (but not limited to) machine learning, build and submission tools, and cloud infrastructure. Powered by Beacon, Rovio's in-house cloud services platform, the team supports tens of millions of players, capturing 4 billion events and over 1TB of data per day. All of this work results in services and tools that enable successful live operations and continuous optimization in Rovio’s games.



We are looking for a Machine Learning Engineer to join our Data & ML Engineering team. In this role at Rovio you get to apply Machine Learning to solve hard problems that can bring a positive impact to our games, advertisement business and user acquisition marketing campaigns.


You will participate in new projects concepting new solutions, doing exploratory data analysis, and validating assumptions. You will also be involved in taking those promising solutions into production and measuring the impact they bring to our business. You will also have the opportunity to improve our MLOps lifecycle, maintain our existing models, and suggest  improvements and new use cases.


Our robust pipelines and infrastructure will allow you along with your colleagues in the Data & ML Engineering team to focus on bringing most of the value from our data lake. Also, you will work closely with data engineers and the technology team, enabling you to request new datasets and features which you find helpful for  your modelling work.


(more information in the offer link)
Link: https://www.rovio.com/open-positions/senior-machine-learning-engineer-bdd4804a-b07f-4874-8a66-82cd4d891f53/
Senior Data Scientist
eBay, Inc.
We are looking for a data scientist to join our enthusiastic team of data scientists and engineers. Please check the job description and don't hesitate to reach out if you to learn more.
Link: https://jobs.ebayinc.com/job/toronto/mts-2-data-scientist/403/23681982944
Data Scientist
Manifest Climate
Manifest Climate is hiring an experienced Data Scientist to help us scale our SaaS offering.

We mainly work with text data coming from annual and sustainability reports. Our data products either scale internal processes, or power our customer-facing software. If you have a strong interest in ML and NLP, 2+ years of experience as a data scientist, and you are looking for purpose and impact in your work, please apply!

Hit me up if you have any questions - or you want to meet during the event!
Link: https://manifestclimate.applytojob.com/apply/q0tvY1PEct/Data-Scientist?source=MLopsWorld
MLOps Engineer
Weight Watchers

Job Description
We are looking for a Machine Learning Engineer to join WW’s Data Science team to develop, deploy, monitor, and maintain production machine learning (ML) models. You will be evaluating existing ML processes to identify areas of improvement, and will apply the latest open source technologies in the ML stack to enhance WW’s predictive automation software. Along with production level software experience, you should demonstrate solid data science knowledge and understanding.
Link: https://www.linkedin.com/jobs/view/mlops-engineer-at-ww-weightwatchers-3021776159/
Sr. Data Scientist (ML/NLP)
Weight Watchers
We are seeking candidates to join a team of highly talented Data Scientists with a primary focus of building data products that improve the lives of WW’s millions of daily active members. The data science team’s applications have an opportunity to interact with members in a myriad of ways, whether it is food, sleep, and fitness tracking, searching for recipes, shopping in our store, or supporting each other in our online coaching and social network. WW is inherently a data product and we can leverage our data—a massive longitudinal dataset across a wealth of touch points and millions of members in different geographies and demographics—to create a more profoundly personalized and impactful experience.

With data science as a key strategic initiative for the organization, the team has been successful in integrating deeply into many areas of the business including product, engineering, marketing, finance and e-commerce. The WW data science team is a separate entity from the analytics and data engineering teams, freeing up the data scientists for a singular focus: building awesome data products. Data science products often include scalable and effective end-to-end solutions for production models, recommenders, and optimization systems.
Link: https://www.linkedin.com/jobs/view/3021772553/?refId=MrPXg%2BpoTezfQNQv9rIaiw%3D%3D&trackingId=kV2ttlJ63GAZ9lLuHQbKlg%3D%3D
Data Scientist (all levels)
Shopify
* email your resume to serena.mcdonnell@shopify.com along with the role you’re interested in *

Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

Responsibilities:

Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications

4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems
Extensive experience with Python and software engineering fundamentals
Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset

Link: https://www.shopify.ca/careers/teams/data
Machine Learning Engineer
Modzy
We’re looking for talented individuals to join our team to empower our mission of building a world where people and machines working together outperform either working alone.
This role will work closely with members of our Data Science team and use state-of-the-art machine learning tools to improve models and bring products to market based on your research. You’ll also lead and contribute to research in new domains, learning approaches, projects on rare and emerging problems, or add new features to existing product lines. You’ll get to apply your knowledge and experience with deep learning and AI to directly impact Modzy’s product roadmap.

Requirements:
A minimum of 5 years of hands-on experience crafting and experimenting with neural networks and machine learning techniques
Experience in rapid prototyping and quick experimentation
Ability to write code that others can understand, adopt, and extend
Fluent with using a neural network framework such as TensorFlow, Caffe, Torch, or Theano and understanding how back-propagation works
Fluent with Python, as well as experience with packages such as NumPy, pandas, and PyCUDA.
Experience with different image types including IR, stereo, hyperspectral is a plus
MS or PhD in CS or related field
Link: https://www.modzy.com/careers/ai-researcher/
Senior Machine Learning Engineer
Unite Us
The Senior Machine Learning Engineer is rooted in the engineering discipline while working collaboratively across the Insights business line and Unite Us departments. As the Senior Machine Learning Engineer you will work in a team of Machine Learning Engineers, work hands-on with data, and develop the full life cycle of flagship model development for the company, with a focus on building recommendation systems and engines. You will also provide strategic insight into the overall analytics roadmap of the organization, working closely with product teams.

This role reports to the Director, Data Engineering (Data Science), and consults with key business stakeholders as a subject matter expert on data engineering and data science solutions.

What You’ll Do:
Define and implement scalability and self-sufficiency into a predictive model build process that meets both technology and data science requirements.
Provide data science technology subject matter expertise, informing the overall strategic direction and prioritization of data science initiatives.
Improve Unite Us’ product and services suite by creating, expanding, and optimizing our data and data pipeline architecture to support the data science strategic roadmap.
Work with the Data Engineering team to create and maintain optimized data pipeline architectures on large and complex data sets.

Keep data separated and segregated according to relevant data policies.
Work with data scientists to develop data ready tools to support their job.


You’re a great fit for this role if:

You have at least 5+ years of experience in Data Science and Data Engineering.
You have experience with building and optimizing data pipelines, architectures, and data sets.
You have advanced working knowledge of SQL and Python/R.
You have experience with Amazon AWS services (Sagemaker) and Snowflake.
You have experience with monitoring metrics for predictive models

Link: uniteus.com
Senior Data Scientist
Calian

Calian, Advanced Technologies is looking for a dynamic and passionate Senior Data Scientist to join a growing and innovative tech organization with an international reach. You will leverage artificial intelligence (AI) and machine learning (ML) to deliver intelligent solutions. You will collaborate with various business areas, internal stakeholders, and external customers across. You will grow, lead, and direct a team of data analysts, data scientists, and ML engineers to develop ML solutions that deliver business value in the following areas:

- Intelligent resource management for satellite and terrestrial communication and networks
- Predictive maintenance for high-value assets
- Data-driven modelling for 5G networks
- Earth observation data processing
- Smart agriculture technology


Responsibilities

- You will grow, mentor, and lead a team of data analysts, data scientists, and ML developers
- You will design, develop, and implement methods, processes, and systems to consolidate and analyze data from different sources to generate actionable insights and solutions for product and service enhancement
- You will provide insights to solutions by analyzing data, cleaning, and transforming large data sets, conducting research, creating prototypes, and building out machine learning pipelines that creatively deliver value
- You will collaborate with domain experts to understand and extract ML problems and translate complex machine learning problems into specific deliverables and requirements
- You will work to understand the key business deliverables to develop and test highly scalable machine learning algorithms for implementation
- You will define project success criteria and provide updates to stakeholders throughout the project life cycle


Qualifications

-A Master’s or PhD in Computer Science, Computer Engineering, Engineering Physics, Mathematics, or related field
- 3-5 years experience in AI, machine learning, data mining, analytics and/or predictive modelling
Link: https://www.linkedin.com/jobs/view/3040586938
Digital Data Roles (Data Science, MLOps, Software Engineer, Data Engineer, DevOps, Advanced Analytics and Data/Solution Architects)
Sanofi
Sanofi Canada advances healthcare for the whole person and every person. A leading investor in life sciences, manufacturing and research and development, we create lifechanging and lifesaving products grounded in science that Canadians can trust. Together, we empower self-care, prevent and treat diseases and help people living with illnesses live better.

Why Sanofi?

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML). We strive to use AI and ML across the organization to accelerate drug discovery and vaccines R&D, manufacturing and commercial performance and to provide life improving and lifesaving drugs and vaccines to patients faster and more effectively.

The Digital Data team at Sanofi Canada is the innovation engine that enables the digital transformation of the company globally. Our global AI Center of Excellence is based out of Toronto, collaborating with our colleagues around the globe to put data to work, creating products that provide a competitive advantage for Sanofi. Our data pods enjoy breaking down complex business problems into effective solutions. Combining business acumen with strong analytical skills, our data and AI strategy team is dedicated to leading the transformation and answering major questions that help our organization make objective decisions.

We are looking for great minds who are passionate about biology, medicine, data and ML to join our talented team by bring a data and AI first mindset to solve business problems. In this position you’ll be working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Do you have what it takes to join our Sanofi Digital Data team?
Link: https://en.jobs.sanofi.com/search-jobs/%23DDB/20873/1
Sr. Machine Learning Engineer, Uber AI Recommendations
Uber
What You'll Need

Uber AI's mission is to optimize and innovate Uber's products and business using machine learning and AI. The group consists of Uber's machine learning platform team which enables machine learning at scale, AI building blocks which enable product teams to build unique experiences and engagements with product teams on their business problems.

The group consists of machine learning engineers, mobile engineers, backend engineers and research scientists and engineers.

About the Role

Collaborates with partner teams across Uber on the design, development, optimization, and productionization of machine learning solutions and systems for core business problems.

About the Team

Uber AI is an integrated technology and research organization. The mission of Uber AI is to make AI and machine learning maximally impactful at Uber by pushing the frontiers of research, developing high quality scalable platforms, and collaborating on innovative applications. To further this mission, the group brings together AI-focused engineering, product, and research teams under a single umbrella to ensure cutting-edge AI innovation is rapidly transferred into company-wide platforms, accelerating Uber's positive impact on the world.

Our team at Uber AI works on optimization problems in the Uber marketplace, including pricing, incentives and forecasting, using deep learning and causal methodology.

What you'll do

Develop innovative ML/AI solutions for challenging business problems that are fundamental for Uber

Collaborate with data science and engineering teams to integrate and validate ML solutions end-to-end

Deliver enduring value in terms of software and modeling artifacts

Basic Qualifications

* Masters in EE, CS or related disciplines

5+ years of industry/academic experience

Expertise in machine learning, especially deep learning.

Familiarity with deep learning frameworks such as Tensorflow, Keras, Pytorch
Link: https://www.uber.com/global/en/careers/list/64216/
Principal Developer Advicate
Tecton
As our first Principal Developer Advocate, you will be the public voice of Tecton and Feast to educate data and MLOps
communities on the value of our products, developing great content that bridges the gap between our technology and
its applications and use cases.

You will also provide guidance to the product and engineering teams on building great product experiences, and
support Tecton community activities - such as apply) conferences, Feast community events and other growth
activities.
Link: https://jobs.lever.co/tecton/f281eb55-21d4-41ca-9bf9-bf497e8506da?lever-origin=applied&lever-
Senior Product Manager, Enterprise
Tecton
Tecton's ideal customer is an enterprise company that wants to standardize on a single feature store across
multiple ML products. Such teams require collaboration, security, governance, compliance, lifecycle management, and system-of-record features to successfully use Tecton across a large number of engineers and data scientists.

By taking on this role, you will be responsible for the success of Tecton in the enterprise. You will specialize in creating a product that goes beyond impacting a handful of people to changing the way large companies build ML applications.

You will be responsible for creating a product moat around Tecton's commercial offering, giving us predictable revenue growth.
Link: https://jobs.lever.co/tecton/a1974937-96d5-40bf-800c-4c67514df3b0?lever-origin=applied&lever
Machine Learning Engineer
Deep Genomics
Come help us build and scale our ML models used to predict molecular phenotypes! Work includes collaboration with ML Scientist building models and streamlining machine learning research
Link: https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36
MLOps Engineer
Featureform
Featureform’s north star is to accelerate the machine learning process.

Machine learning teams work with thousands of features created by ad-hoc, undocumented, and discordant data pipelines. Featureform untangles the mess by standardizing how features are defined, managed, and shared. Join us and build the new standard for MLOps!

About the Role

Featureform will shape and design the MLOps stack, starting with a feature store. We are looking for an experienced and entrepreneurial Lead MLOps Engineer to help us refine and drive towards that vision. The ideal candidate has strong opinions regarding the MLOps stack and excitement about building new MLOps products.


Learn more: https://apply.workable.com/featureform/j/CA41D7D43F/
Link: https://apply.workable.com/featureform/j/CA41D7D43F/
Software engineer in Machine Learning
Amazon Music
Amazon Music Search Relevance (MSR) team is looking to fill multiple Science and Engineering positions at multiple levels and in various locations. We are working on making audio (music, podcasts…) content more relevant and personalized for our Amazon customers across the world. We are the team that enables you find the right audio content on Alexa and Amazon Music App.

Our team prides itself in providing opportunities to work across voice and text search tech stacks. This provides you with a unique opportunity to learn about solving Search challenges from speech recognition, to natural language understanding, to ranking and retrieval – all at a billion+ query volume. Amazon Music is rapidly expanding world-wide and across new content formats such as Podcasts, Videos and more. If you’re into Music or Podcasts, this is a rare opportunity to align your passion and work and have fun working with a world-class team of the best minds from silicon valley!

If working on/learning about graph neural networks, deep learning, semantic retrieval, big data and efficient ML infrastructure excites you then we have a role for you. Club that with the empathetic leadership and great work life balance at Amazon Music, these opportunities are hard to let go by.
Link: https://www.amazon.jobs/en/jobs/2045273/software-development-engineer-music-search-relevance
Software engineer, ML Ops
Amazon Music
Amazon Music Search Relevance (MSR) team is looking to fill multiple Science and Engineering positions at multiple levels and in various locations. We are working on making audio (music, podcasts…) content more relevant and personalized for our Amazon customers across the world. We are the team that enables you find the right audio content on Alexa and Amazon Music App.

Our team prides itself in providing opportunities to work across voice and text search tech stacks. This provides you with a unique opportunity to learn about solving Search challenges from speech recognition, to natural language understanding, to ranking and retrieval – all at a billion+ query volume. Amazon Music is rapidly expanding world-wide and across new content formats such as Podcasts, Videos and more. If you’re into Music or Podcasts, this is a rare opportunity to align your passion and work and have fun working with a world-class team of the best minds from silicon valley!

If working on/learning about graph neural networks, deep learning, semantic retrieval, big data and efficient ML infrastructure excites you then we have a role for you. Club that with the empathetic leadership and great work life balance at Amazon Music, these opportunities are hard to let go by.
Link: https://www.amazon.jobs/en/internal/jobs/2024154/software-development-engineer-music-search-relevance
Applied scientist, ML, Search relevance
Amazon Music
Amazon Music Search Relevance (MSR) team is looking to fill multiple Science and Engineering positions at multiple levels and in various locations. We are working on making audio (music, podcasts…) content more relevant and personalized for our Amazon customers across the world. We are the team that enables you find the right audio content on Alexa and Amazon Music App.

Our team prides itself in providing opportunities to work across voice and text search tech stacks. This provides you with a unique opportunity to learn about solving Search challenges from speech recognition, to natural language understanding, to ranking and retrieval – all at a billion+ query volume. Amazon Music is rapidly expanding world-wide and across new content formats such as Podcasts, Videos and more. If you’re into Music or Podcasts, this is a rare opportunity to align your passion and work and have fun working with a world-class team of the best minds from silicon valley!

If working on/learning about graph neural networks, deep learning, semantic retrieval, big data and efficient ML infrastructure excites you then we have a role for you. Club that with the empathetic leadership and great work life balance at Amazon Music, these opportunities are hard to let go by.
Link: https://www.amazon.jobs/en/internal/jobs/1793480/machine-learning-scientist-music
Software engineer, ML data and ML Ops
Amazon Music
Amazon Music Search Relevance (MSR) team is looking to fill multiple Science and Engineering positions at multiple levels and in various locations. We are working on making audio (music, podcasts…) content more relevant and personalized for our Amazon customers across the world. We are the team that enables you find the right audio content on Alexa and Amazon Music App.

Our team prides itself in providing opportunities to work across voice and text search tech stacks. This provides you with a unique opportunity to learn about solving Search challenges from speech recognition, to natural language understanding, to ranking and retrieval – all at a billion+ query volume. Amazon Music is rapidly expanding world-wide and across new content formats such as Podcasts, Videos and more. If you’re into Music or Podcasts, this is a rare opportunity to align your passion and work and have fun working with a world-class team of the best minds from silicon valley!

If working on/learning about graph neural networks, deep learning, semantic retrieval, big data and efficient ML infrastructure excites you then we have a role for you. Club that with the empathetic leadership and great work life balance at Amazon Music, these opportunities are hard to let go by.
Link: https://www.amazon.jobs/en/jobs/2046310/software-engineer-machine-learning-music-search-relevance
Solutions Architect
Tecton
A Solutions Architect is the main technical advisor to prospects and customers as they evaluate Tecton’s technical
capabilities. SA’s are responsible for understanding the customer’s architecture around data engineering and machine
learning and determining how Tecton can best bring value to these organizations. SA’s also work with existing clients
to understand further opportunities where Tecton can bring value.
Link: https://jobs.lever.co/tecton/2da2c4f3-af34-4fd0-83dd-9428fa408a0a?lever-origin=applied&lever-source%5B%5D=MLOps%20World%20June%202022%20Job%20Board
Enterprise Account Executive
Tecton
As an early member of Tecton's Sales team, you will play a critical role in driving new business leads and
executing our cloud-focused sales strategy in a bottoms-up approach. We are looking for a hardworking and
driven Sales expert, to continue to grow our rapidly expanding enterprise customer base.

This is a remote position, open to anyone. based preferably in the:
Greater San Francisco, CA, Seattle or Portland areas;
Greater NYC or any other major metropolitan area on the East Coast; or
Dallas, TX; Austin, TX or Chicago metropolitan area.
Link: https:/jobs.lever.co/tecton/d5d4588e-4762-4f00-bed6-2cf5f586908a?lever-origin=applied&lever-source%5B%5D=MLOps%20World%20June%202022%20Job%20Board
Performance Engineer
Tecton
Tecton's Feature Platform serves hundreds of thousands of requests per second for feature values with millisecond latency. These feature values are powering critical ML models like fraud detection and recommender systems across various enterprise companies. As Tecton's first performance engineer, you will
own the performance of our Feature Platform working very closely with software engineers in the feature storage and serving teams.
Link: https://jobs.lever.co/tecton/48b78109-b48b-4a7b-9f1d-6edc9a48a242?lever-origin=applied&lever-source%5B%5D=MLOps%20World%20June%202022%20Job%20Board
Senior Threat Researcher TD&R
Cisco Systems
You will help to identify, analyze, and classify potential threats and malicious activity using the power of Cisco Cognitive Intelligence machine learning capabilities. You will help design new ways of identifying and tracking down threat actors. You will be collaborating with highly skilled machine learning experts, reverse engineers and security community and in close touch with our customers. You will participate in publishing security blogs and reports and you will help measuring and improving efficacy of our detections.
Link: https://jobs.cisco.com/
Developer Advocate - Open Source (Canada / USA / Remote)
Agnostiq
Company Overview:
Agnostiq is developing Covalent, an open source workflow orchestration platform designed to help users manage and execute tasks on heterogeneous compute resources.

About the role:
We’re looking for a talented developer advocate for Covalent, an open source workflow orchestration platform for quantum and HPC. The ideal candidate will be passionate about open source, high performance and/or quantum computing and/or machine learning, have experience creating content such as blogs, tweets, tutorials and more. You can learn more about Covalent here: https://www.covalent.xyz/.

Key Responsibilities:
- Drive developer awareness of Covalent by speaking at events, publishing/blogging, social media, being present in Slack channels and Discords
- Help improve documentation, demos and other materials relevant to the developer experience
- Capture and share product feedback from the developer community with the Agnostiq team
- Create technical assets such as demo videos, presentations, workshops
- Work alongside the marketing team to identify and craft relevant messaging to Covalent’s users
- Be a point of contact for the Covalent community and an ambassador for quantum open source

Preferred qualifications:
- Excellent verbal and written communication skills - candidates that are actively blogging and/or present on social media will be highly sought after for this position
- Experience / familiarity with HPC and/or machine learning
Link: https://www.covalent.xyz/
Multiple Roles (ML Engineers, Data Scientists, Data Engineers)
Assurance
We’re hiring for multiple positions! Check out our careers page for details or reach out to nlanziner@assurance.com

About Assurance

Assurance IQ is a technology company headquartered in Seattle. We were acquired by Prudential (NYSE: PRU) to further the joint mission of improving financial wellness across the world.

Our team of world class software engineers, data scientists, and business professionals work every day to expand our product offerings and the reach of our platform. We simplify the complex world of insurance and financial services into straightforward, valuable solutions to improve people’s lives. We start by asking customers a few questions, so our system can learn about their needs; from there, our ground-breaking, proprietary platform takes over and analyzes the thousands of data points that make customers unique. This is how we create custom-tailored plans for each customer; plans built precisely for their needs and budget. Our platform serves as the intersection between customer and seller, technology, and the human touch.

At Assurance, we are innovative, persevering, collaborative, calculated, and authentic, and we’re working together to improve the lives of millions!
Link: https://careers.assurance.com/?departments=technology#Open-Positions
MLOps Sales Engineer
Comet.ml
As a MLOps Sales Engineer working out of our New York office or Remotely, you will partner with Sales during the sales cycle and enable prospects to understand the benefits of leveraging the platform

Responsibilities:
Lead technical demonstrations and support sales evaluations of the Comet platform
Work to qualify business opportunities and identify key customer technical objections. Develop the strategy to resolve technical impediments during the sales cycle.
Gather technical requirements from prospective clients and mapping the platform to the prospective clients’ unique requirements
Build a technical rollout plan to drive adoption and support customer success (roughly 15% of time) as needed through all phases of customer engagements
Partner with Marketing to deliver tutorials, blog posts, sample code, and presentations adapted for technical, business, and executive partners
Partner with Product and Engineering to provide customer and market feedback to help define product roadmap

Requirements:
Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.
3+ years of experience with applied machine learning and software engineering
Quick learner, self-starter, and comfortable working with ambiguity
Deep and demonstrable knowledge of Python and ML frameworks such as Keras, PyTorch, Tensorflow
Ability to understand the workflow and tools used by data scientists
Excellent communicator and presenter; able to win the confidence of a technical audience and simplify messaging
Experience building production-grade ML systems and taking ML models to production is a plus
Link: https://www.comet.ml/site/career/job/?gh_jid=4998774003
Developer Advocate - Deep Learning
comet.ml
Comet has an opening for a motivated and self-directed Developer Advocate for Deep Learning as part of the Community Team, which is focused on supporting and inspiring our global community of ML practitioners.

In this role, you will grow our practitioner community and engage with them through content initiatives, events, and other channels; collaborate across internal teams to create interesting machine and deep learning projects using Comet; serve as a public-facing champion for Comet users and ML practitioners at-large; and more.

The role includes a mix of community evangelism and advocacy, as well as collaborative deep learning project work.

Please see full JD at the link provided below.
Link: https://www.comet.ml/site/career/job/?gh_jid=4961100003
Technical Product Marketing ML Engineer
Comet.ml
We are looking for a Technical Product Marketing ML Engineer to join Comet’s Product Marketing team.
This person will work with key stakeholders across internal teams (Product, Sales, and Client Success) to bring clarity to Comet’s platform offering, premium features, and ecosystem.

The role is ideal for a seasoned marketer with experience working with data science and machine learning, who is looking to advance their career as an expert in ML and the tools that can be used to build, manage, and monitor ML models.

Comet’s ML platform is designed to empower machine learning development teams to use their preferred data science and ML frameworks to manage and optimize models across the complete ML lifecycle, from training runs to models in production.
Link: https://www.comet.ml/site/career/job/?gh_jid=4959294003
ML Engineer
Protect AI
Machine learning (ML) models can be vulnerable to adversarial attacks. These can range from an attacker attempting to make the ML system learn the wrong thing (data poisoning), do the wrong thing (evasion attacks), reveal the wrong thing (model inversion), or can be stolen (extraction).

In the last three years, major companies such as Google, Amazon, Microsoft, and Tesla, have had their ML systems tricked, evaded, or misled. According to a Gartner report 30% of cyberattacks by 2022 will involve ML adversarial attacks. Industry is not prepared. In a survey of 28 organizations spanning small as well as large organizations, 25 enterprises (90%) did not know how to secure their ML systems.

Led by proven leaders in AI and ML and well-funded by top venture capitalists in cybersecurity and machine learning, Protect AI is building cybersecurity solutions for machine learning.

**What You’ll Do**
As an early stage engineer you will build the foundations of our product and help shape the future of the company. You will work closely with CTO and team of SDE and ML Engineers to build product v1 in the early days.

As an ML Engineer you will put your ML and software engineering expertise to great use. You will build the tooling (libraries, APIs, ML pipeline) for other ML Engineers and ML Scientists to secure ML models. You will get an opportunity to contribute to our open source projects and interact with the wider ML community as well!

More info: https://www.linkedin.com/jobs/view/3108620391
Link: https://www.linkedin.com/jobs/view/3108620391
ML Scientist
Protect AI
Machine learning (ML) models can be vulnerable to adversarial attacks. These can range from an attacker attempting to make the ML system learn the wrong thing (data poisoning), do the wrong thing (evasion attacks), reveal the wrong thing (model inversion), or can be stolen (extraction).

In the last three years, major companies such as Google, Amazon, Microsoft, and Tesla, have had their ML systems tricked, evaded, or misled. According to a Gartner report 30% of cyberattacks by 2022 will involve ML adversarial attacks. Industry is not prepared. In a survey of 28 organizations spanning small as well as large organizations, 25 enterprises (90%) did not know how to secure their ML systems.

Led by proven leaders in AI and ML and well-funded by top venture capitalists in cybersecurity and machine learning, Protect AI is building cybersecurity solutions for machine learning.

**What You’ll Do**

As an early stage employee you will build the foundations of our product and help shape the future of the company. You will work closely with the CTO and a team of ML Scientists, ML Engineers and SDE to build product v1 in the early days. Your role will come with a lot of growth opportunities.

As an ML Scientist you will:

- Research and develop a deep understanding of Adversarial ML algorithms, techniques and methods and help ML engineers on the team with the complex details.
- Incorporate state-of-the-art research in Adversarial ML into our product offering by implementing adversarial ML techniques from scratch or refactor existing adversarial ML implementations.
- Keep up with advancements in Adversarial ML research and collaborate with the engineering team to evaluate potential new attacks and defenses.
- Collaborate with adversarial ML researchers to bring their work to our platform and to the wider community we are building.
- Contribute to open source projects and help us build the open source community for adversarial ML.
Link: https://www.linkedin.com/jobs/view/3108619130
Principal Data Scientist
Genentech
https://careers.gene.com/us/en/job/202106-115910/Principal-Data-Scientist-People-Insights-Americas
Link: None
Data Scientists/Software Engineers
TrojAI Inc.
A CB Insights Top 100 AI Company and Gartner Representative Vendor for Adversarial Resistance.

TrojAI Inc. is at the forefront of AI protection. Our team is responsible for identifying and defending against emerging attacks across industries including fintech, autonomous transport, robotics and defence.
We are looking for talented data scientists who are passionate about building robust and secure AI systems. Your work will have global impact by protecting customers, their AI systems and, ultimately, the people that rely on such innovations.

Primary Responsibilities:
 Execute complex machine learning and deep learning projects that have a significant impact on TrojAI’s ability to protect.
 Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
 Collaborate with product, engineering, and marketing teams across many TrojAI’s business domains to translate business needs into technical solutions
 Collaborate with other data scientists and data engineers to design, prioritize and implement new features for our protection platform
 Write clear, maintainable well-tested/validated code and algorithms
 Stay current with the latest research and technology and communicate your knowledge throughout the enterprise
 Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity, quality and robustness
 Up to 10% travel may be required

TrojAI Inc. is an equal opportunity employer and is committed to a diverse workforce.
Link: https://troj.ai/
MLOps Analyst
Definity | Economical Insurance
The Advanced Analytics team at Definity is looking for an individual with a passion and expertise in the area of Machine Learning Operationalization (MLOps). As an MLOps Analyst reporting to the Manager, Advanced Analytics, you will be responsible for supporting the operationalization of complex analytical solutions, and the monitoring & improvement of the underlying machine learning models, so that we sustain the benefits of the solutions to the organization and to our customers.



What can you expect in this role?

You will operationalize Analytical solutions (API’s, batch processes, analytical applications), and be able to contribute to the development of new solutions and improvement of existing solutions.
You will bring new ideas to contribute to innovation and process improvement.
You will work with Data Scientists within our team, our business stakeholders and other technical teams to deliver Analytical solutions to the business – we believe strongly in working together to deliver business value versus throwing a model over the fence to be operationalized.

What do you bring to this role?

University degree in Software Engineering, Computer Science, Data Science or a related discipline
2-4 years in developing and operationalizing analytical solutions
Highly analytical, demonstrated ability to develop creative solutions to complex problems
Strong proficiency with R or Python
Experience with model drift monitoring and refresh automation
Experience with Google Cloud for MLOps is an asset
Link: https://careers.definityfinancial.com/jobs/8997153-machine-learning-operationalization-mlops-analyst
Advanced Analytics Professional
Definity | Economical Insurance
The Advanced Analytics team at Definity is looking for individuals with a passion in the areas of Data Science and MLOps. As a Junior Advanced Analytics Professional reporting to the Manager, Advanced Analytics you will support the creation and operationalization of predictive models, tools, and processes based on internal and external data to improve business decision making and the customer experience. You must demonstrate a passion for creating innovative solutions, and you must be able to explain complex concepts to stakeholders to gain acceptance for your analysis.
We are looking for creative, curious, and analytical team members to join our Advanced Analytics team!

What can you expect in this role?

Use your creativity and curiosity to develop and deploy new analytical models and tools to help the business in their decision-making
Apply professional experience with data science software to prepare, analyze, and model data
Prepare and present high-quality deliverables to communicate insights and recommendations
Uncover issues and trouble shoot existing tools and data processes, discover the fix and bring the solution to the team
Learn our current tools and run reports to be visualized for leaders. Help leaders understand the story behind the numbers
Continually focus on innovation and process improvement to promote leading practice and efficiency across the organization

What do you bring to the role?

University degree in computer science, software engineering, data science, statistics, actuarial science, or a related discipline
1+ years of professional work experience in a data analysis-related position
Strong communication (verbal/written) and organizational skills
Highly analytical, demonstrated ability to develop creative solutions to complex problems
Strong programming skills, with a proficiency in using the R and/or Python programming language for data wrangling and analysis

Link: https://careers.definityfinancial.com/jobs/9205486-junior-slash-intermediate-advanced-analytics-professional
Machine Learning Operations Engineer
SkySpecs, Inc
SkySpecs is seeking a Machine Learning Operations Engineer for the Inspection Vision team, which works closely with relevant internal and external stakeholders to produce state-of-the-art Computer Vision algorithms using wind turbine visual data. We also manage the entire lifecycle of the built models - from research to deployment and beyond. The ideal candidate for this position is a team player and thrives in an agile work environment.

As a Machine Learning Operations Engineer, you will:

- Work with the Inspection Vision team to architect, build and support machine learning training and model deployment pipelines
- Work with back-end database team to design and build large-scale data processing pipelines
- Build continuous monitoring and evaluation systems that analyze and track model performance metrics
- Work with the team to solidify model and data versioning process and experiment tracking

Requirements of the job:

- Ability to design and implement cloud-based solutions and scalable data pipelines (AWS preferred)
- Fluency in Python or other relevant programming languages
Experience with MLOps tools that support model versioning, experiment tracking, deployment, production monitoring etc.
- Familiarity with software engineering tools including git, github and CI/CD
- Comfortable working in Unix-based environments
- Bachelor's degree and 3+ years' relevant research/project/Industry experience (or) Master's degree and relevant experience

Bonus points for:

- Experience operationalizing large scale Machine Learning project
Some hands-on experience with Machine Learning model development
- Database and programming languages experience and data manipulation and integration skills using SQL/Postgres, GraphQL, NoSQL Databases, etc.
- Some knowledge of deep learning frameworks such as PyTorch, Tensorflow, Keras (Pytorch preferred)
- Experience with Infrastructure as Code frameworks like Terraform
Link: https://skyspecs.breezy.hr/p/29db935645e7-machine-learning-operations-engineer?source=skyspecs.com&popup=true
Manager, Model Quality - Retail & Small Business Model Operations
Scotiabank
“Big data”, “AI” and “machine learning” are not just buzz-words; they are part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

Model Quality is all about ensuring that everything we build, we build right the first time to last. The right candidate for this role is not someone who wants to design and build a handful of models each year but rather, is someone willing to take on the intellectual challenge of understanding how dozens of them (spanning a wide range of problem types and using a myriad of methodologies) work and can, commensurately, design processes and frameworks (QA), and build and execute capabilities, to stress, test and validate (QC) those models in development, at implementation and in the field.

This role will be a key member of Scotiabank’s Retail & Small Business Model Operations team responsible for ensuring that every part of the model lifecycle from development to implementation, deployment to management, and tracking to governance unfolds as effectively & efficiently, as possible. In Model Operations, we are passionate about arming our stakeholders with the best data & tools possible so that they can build and run the best models possible. We obsess over getting things done quickly and done right, the first time. We leverage a combination of business / technical consulting, collaborative development and verification / testing in our approaches. We get excited by automation. We love working with people; both internally with our peers (across business strategy, risk & technology) and externally with vendors alike. We make modelling easier and models easier to use.
Link: https://www.linkedin.com/jobs/view/manager-model-quality-retail-small-business-model-operations-toronto-on-at-scotiabank-2907416377/?originalSubdomain=ca
Manager, Forecasting Models - Retail and Small Business - Toronto, ON
Scotiabank
“Big data”, “ML” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.
Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible.
We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.
To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.
Link: https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/
Manager, GRM RCUL Acquisition
Scotiabank
The mandate of this role is to manage the development of credit risk strategies, policies and procedures for pre-approved acquisition for Credit Cards and Unsecured Lending portfolio in order to optimize risk/return for Canadian Banking in Global Risk Management.
Link: https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-GRM-RCUL-Acquisition-ON-M5C2W1/560161217/
Senior/Staff/Principal Backend Engineer (ML/Data Ops)
Anagenex
We are an early stage biotechnology company dedicated to accelerating early stage small molecule discovery by combining massively parallel bench science and computation. Our technology rapidly analyzes 100-1000x more compounds than traditional methods by using a variety of DNA Encoded Libraries and applying machine learning to design high throughput follow-on experiments. By adopting a tightly coupled, iterative cycles of computational and bench science we reduce the cost of early stage drug discovery while tackling hard, medically relevant targets.


To build this platform we are assembling a unique, cross-functional team with decades of combined experience and equal parts computational, biochemical and chemical talent. We believe that merging these disciplines, with each one complementing the other, is the best way to find new medicines.


We are looking for an entrepreneurial Senior Backend Engineer to help us prove it.

Responsibilities:
Manage and improve a Kubernetes cluster used for training large scale neural networks and other machine learning models on billion-point datasets

Lead adoption of best-practice software engineering principles in the organization

Manage the team's continuous integration process

Design and build systems to ensure model and dataset integrity

Implement best cloud security practices

Explore and deploy novel technologies to accelerate all the above.

Communicate effectively as a member of a highly interdisciplinary team
Link: https://anagenex.com
AI Group - Platform Engineer
Bloomberg LP
Bloomberg’s Data Science Platform provides a standard set of tooling and infrastructure to facilitate MLOps - from experimentation, data engineering and training to inference across the company. We provide scalable compute, specialized hardware and first-class support for a variety of workloads such as PyTorch, Spark, TensorFlow and Jupyter. We provide advanced features such as hyperparameter-tuning as a service and are beginning to invest in model-management and governance. The platform is built leveraging containerization, container orchestration and cloud architecture and built on top of 100% open-source projects.

Having built an excellent foundational infrastructure layer for the Data Science Platform on top of open-source components like Kubernetes, Cloud Native Buildpacks, Kubeflow training operators, KServe, Spark, Argo and more, we are now looking to offer higher level abstractions to facilitate and automate common workflows involved in the Model Development Lifecycle. Highlights from our upcoming roadmap focus on creating integrations built atop our infrastructure layers that allow for Continuous Training and Evaluation (CT/CE) of models, out-of-the-box AutoML solutions, Hypertune as a service, Drift Detection, Model and Feature Stores.

That’s where you come in. As a member of the multi-disciplinary Data Science Platform team within the AI Group at Bloomberg, you’ll have the opportunity to make key technical decisions in improving the end-user experience of AI engineers.

While working on the team, the backbone of Bloomberg’s up-and-coming AI products, you will have the opportunity to create a platform experience and tools that meet the requirements of our AI Researchers and Engineers, with a focus on creating a more cohesive, integrated and managed MLOps experience.
Link: https://careers.bloomberg.com/job/detail/104312
Senior Data Scientist
Mastercard
https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Senior-Data-Scientist_R-158137-1


Responsibilities
• Build frameworks, pipelines etc. to deploy complex machine learning models in Azure ML
• Deploy, operationalize, and scale machine learning models
• Monitor existing machine learning applications
• Lead all Engineering aspects involved around machine learning models.
• Support in building models and algorithms.
• Participate and lead data quality initiatives
• Participate and lead in building process in data quality and cleaning activities

Experiences
• Demonstrated success when deciding on technical methodologies for project work
• Experience deploying, operationalize, and monitoring machine learning models.
• Extensive experience leveraging open-source tools, predictive analytics, machine learning, and other data techniques to perform complex analyses for project work
• Consistently delivered accurate, technically advanced and valid analyses with impactful insights and conclusions

Skills
Python, R Programming
SQL, SAP HANA, Hadoop, Snowflake databases
Linux, Azure environment, Azure Machine Learning, Databricks, Apache Spark (PySpark/Scala)
Link: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Senior-Data-Scientist_R-158137-1
Machine Learning Infrastructure Engineer
Bloomberg
Bloomberg’s Data Science Platform was established to support development efforts around data-driven science, machine learning, and business analytics. The platform aims to provide scalable compute, specialized hardware and first-class support for a variety of workloads such as Pytorch, Spark, Tensorflow and Jupyter. The platform was developed to provide a standard set of tooling for addressing the Model Development Life Cycle from experimentation and training to inference.

That’s where you come in. As a member of the multi-disciplinary Data Science Platform team, you’ll have the opportunity to make key technical decisions to keep this platform moving forward. Our team makes extensive use of open source (e.g. Kubernetes, Buildpack, Kubeflow, Pytorch Tensorflow, Jupyter etc.) and is deeply involved in a number of communities. We collaborate widely with the industry, contribute back to the open source projects, and even present at conferences. While working on the platform, the backbone for many of Bloomberg's up and coming products, you will have the opportunity to meet engineers across the company and learn about the technology that delivers products from the news to financial instruments. If you are a software engineer who is passionate about building resilient, highly available infrastructure and seamless, usable full stack solutions, we'd like to talk to you about an opening on our team.
If you are a software engineer who is passionate about building resilient, highly available infrastructure and seamless, usable full stack solutions, we'd like to talk to you about an opening on our team.
Link: https://careers.bloomberg.com/job/detail/102458?qe=Machine+Learning+Infrastructure+Engineer
Compute Platform Engineer
Bloomberg
Bloomberg’s compute and data science platform was established to support development efforts around data-driven compute, machine learning, and business analytics. The platform aims to provide scalable compute, specialized hardware and first-class support for a variety of workloads such as Spark, Tensorflow and Jupyter. The platform is built leveraging containerization, container orchestration and cloud architecture.
As a member of the multi-disciplinary Data Science Platform team, you’ll have the opportunity to make key technical decisions to keep this platform moving forward. Our team makes extensive use of open source (e.g. Kubernetes, Buildpack, Kubeflow, Pytorch Tensorflow, Jupyter etc.) and is deeply involved in a number of communities. We collaborate widely with the industry, contribute back to the open source projects, and even present at conferences. While working on the platform, the backbone for many of Bloomberg's up and coming products, you will have the opportunity to meet engineers across the company and learn about the technology that delivers products from the news to financial instruments. If you are a software engineer who is passionate about building resilient, highly available infrastructure and seamless, usable full stack solutions, we'd like to talk to you about an opening on our team.
Link: https://careers.bloomberg.com/job/detail/102455?qe=Compute+Platform+Engineer
Data Engineer - Manager, AI and Machine Learning, AML/ATF Models & Analytics
Scotiabank
The role Manager, AI and Machine Learning, AML/ATF Models and Analytics is responsible for applying sophisticated statistical and AI/Machine Learning technique to develop and implement better models and solutions for Transaction Monitoring, Payment and Name Screening and Client risk Rating.

Key Accountabilities
- Apply sophisticated modeling techniques, including AI and Machine learning, to develop and implement innovation models and solutions
- Research and understand the latest advances in AML/ATF analytics and predictive models to a wide range of products and services across the enterprise customer base in order to continually enhance model performance
- Participate with, the model development teams to scope, understand and appropriately document AML/ATF electronic monitoring risk, developing and updating statistical approaches with longer term strategies to mitigate this risk and improving the model performance across products and services globally
- Contribute to the development of optimal AML/ATF strategic alternatives by identifying and presenting opportunities for the effective deployment of analytics for AML/ATF electronic monitoring
- Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
- Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the - Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
Link: https://www.linkedin.com/jobs/view/3088322126/
Data Scientist - Manager, AI and Machining Learning, AML/ATF Models & Analytics
Scotiabank
The role Manager, AI and Machine Learning, AML/ATF Models and Analytics is responsible for applying sophisticated statistical and AI/Machine Learning technique to develop and implement better models and solutions for Transaction Monitoring, Payment and Name Screening and Client risk Rating.

Key Accountabilities
- Apply sophisticated modeling techniques, including AI and Machine learning, to develop and implement innovation models and solutions for the Bank's AML program.
- Research and understand the latest advances in AML/ATF analytics and predictive models to a wide range of products and services across the enterprise customer base in order to continually enhance the model performance
- Participate with, the model development teams to scope, understand and appropriately document AML/ATF electronic monitoring risk, developing and updating statistical approaches with longer term strategies to mitigate this risk and improving the model performance across products and services globally
- Contribute to the development of optimal AML/ATF strategic alternatives by identifying and presenting opportunities for the effective deployment of analytics for AML/ATF electronic monitoring
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
- Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the - Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
- Assist the team in ensuring all procedures and practices are complied with regulatory and internal requirements
Link: https://www.linkedin.com/jobs/view/3088319729/
Manager, AML/ATF Models and Analytics
Scotiabank
This position contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.  Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

Key Accountabilities:
- Develop and enhance statistical models in support of Scotiabank’s AML/ATF activity.  Includes working on data acquisition, modeling, implementation and tuning strategies.  Anticipated deliverables include models for transaction alert generation and alert prioritization.  Will involve analyzing various alert metrics (eg, productive vs non-productive alerts, alerts per transaction) and optimizing solution configurations and parameters.
- Design, develop and evaluate statistical models in cases where models cannot be developed from existing data.  Test and analyze thresholds, ranges and solution configurations to improve the effectiveness of monitoring and screening solutions.
- Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
- Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
 - Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
Link: https://jobs.scotiabank.com/job/Toronto-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/559963517/
Manager, IFRS 9 Modelling
Scotiabank
As the Manager, Credit Risk Modelling and Analytics, Enterprise Stress Testing, you will contribute to the overall success of the IFRS 9 credit risk modelling, analytics, and reporting for Business Banking portfolios. You will ensure specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

Accountabilities
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
- Develops credit risk models for the Business Banking portfolio that predict probability of default, loss given default, exposure as default for IFRS 9 provisioning and financial reporting.
- Builds, enhances, and automates processes to facilitate timely execution and analyses of quarterly results, SOX controls, model impacts, and macroeconomic sensitivities.
- Works with stakeholders and technology teams to implement and execute models and analyses in support of on-going financial disclosure, regulatory reporting, and ad hoc analyses.
- Supports stress testing teams who will use the IFRS 9 models for Enterprise-Wide Stress Testing and other ad hoc stress tests.
- Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation.
- Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk
Link: https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-IFRS-9-Modelling-ON-M5H1H1/560032917/
Manager, Climate Scenario Analytics, Enterprise Stress Testing
Scotiabank
As part of Scotiabank Global Risk Management, the Enterprise Stress Testing (EST) team is responsible for assessing the impact of scenarios that may adversely affect the Bank’s portfolio. The group is responsible for methodology, development, and support of models that forecast tail risk for all products.


Description:
Within the EST team, the candidate will support the development of quantitative models to assess the financial impact of climate change scenarios on the Bank’s portfolio. The ideal candidate is comfortable with quantitative statistical analyses and has a strong interest in financial products, risk management, and the impacts of climate change. The candidate should have experience dealing with large amounts of data, as well as combining data from several disparate sources to arrive at the solution to problems. Strong written and verbal communication skills are essential.

Enterprise Stress Testing is actively involved in the Bank’s Diversity and Inclusion (D&I) initiatives. The team supports an inclusive and collaborative workplace with an emphasis on creativity and curiosity. The team contributes to Women-in-Leadership activities, enterprise-wide D&I discussions, and is committed to enhancing the representation and recognition of minority groups across the Bank.

What you'll do in this role?
- Conduct research of new best practices for financial modeling of climate related risks.
- Develop new models to assess the impact of climate change on the Bank.
- Prototype new approaches for risk measurement.
- Collaborate with other risk modelling teams to integrate new models into the Bank’s processes.
- Develop supportive documentation for the analysis and methodology of climate change risk.
Link: https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-Climate-Scenario-Analytics%2C-Enterprise-Stress-Testing-Toronto%2C-ON-ON-M5H1B6/558296017/
Manager, Internal Rating Management, Credit Risk Models
Scotiabank
The Internal Ratings Management unit in Global Risk Management is responsible for credit risk modelling for Bank’s Business Banking portfolio.

What you'll do in this role?
As a Manager, you will report directly to a Senior Manager and be a critical member of a team overseeing risk parameter estimation models, and related internal and regulatory processes. You will support – from conception through execution and governance – the credit risk parameter estimation models covering the Bank’s AIRB Business Banking portfolio. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Validation and Governance, Finance, Business Lines Partners, Compliance and Audit.

You will have access to a modern machine learning stack that includes open source development environments, and data visualization business intelligence tools.

Sample projects that you might work on include:
- Develop, implement, and maintain risk quantification methodologies for Business Banking credit risk parameters such as PD, LGD and EAD.
- Perform research and analysis of applicable methodologies; present and recommend appropriate alternatives; test and implement modelling methodologies.
- Benchmark internal results with external models or data sources; provide analysis and recommend actions as appropriate.
- Implement and maintain a rigorous framework of internal controls and comprehensive documentation for various applications and databases used in parameter estimation models.
- Communicate results of analyses through documentation to internal/external audiences, and effectively manage the interface with relevant parties such as Validation, Audit, and Regulators.
- Keep abreast with advances in credit risk analytics developments, products, and applications by vendors, consultants, regulatory agencies and competitors.
Link: https://jobs.scotiabank.com/job/Toronto-Manager%2C-Internal-Rating-Management%2C-Credit-Risk-Models-ON-M5C2V9/559458617/
AI Group - Platform Engineer
Bloomberg LP
Bloomberg’s Data Science Platform provides a standard set of tooling and infrastructure to facilitate MLOps - from experimentation, data engineering and training to inference across the company. We provide scalable compute, specialized hardware and first-class support for a variety of workloads such as PyTorch, Spark, TensorFlow and Jupyter. We provide advanced features such as hyperparameter-tuning as a service and are beginning to invest in model-management and governance. The platform is built leveraging containerization, container orchestration and cloud architecture and built on top of 100% open-source projects.

Having built an excellent foundational infrastructure layer for the Data Science Platform on top of open-source components like Kubernetes, Cloud Native Buildpacks, Kubeflow training operators, KServe, Spark, Argo and more, we are now looking to offer higher level abstractions to facilitate and automate common workflows involved in the Model Development Lifecycle. Highlights from our upcoming roadmap focus on creating integrations built atop our infrastructure layers that allow for Continuous Training and Evaluation (CT/CE) of models, out-of-the-box AutoML solutions, Hypertune as a service, Drift Detection, Model and Feature Stores.

That’s where you come in. As a member of the multi-disciplinary Data Science Platform team within the AI Group at Bloomberg, you’ll have the opportunity to make key technical decisions in improving the end-user experience of AI engineers.

While working on the team, the backbone of Bloomberg’s up-and-coming AI products, you will have the opportunity to create a platform experience and tools that meet the requirements of our AI Researchers and Engineers, with a focus on creating a more cohesive, integrated and managed MLOps experience.
Link: https://careers.bloomberg.com/job/detail/103566
Senior Content Developer (Technical Writer)
Iterative
We’re seeking an experienced technology writer to help us sustain and improve our growing user-facing articles and documentation!

Join us if you’d love to become an expert on the philosophy and usage of our tools, and then explain, teach, and support them.

More info: https://iterative.notion.site/Iterative-ai-is-Hiring-852cb978129645e1906e2c9a878a4d22
Link: https://iterative.notion.site/Iterative-ai-is-Hiring-852cb978129645e1906e2c9a878a4d22
Senior ML Engineer
Duo Security
The ML Infrastructure team is responsible for all the infrastructure and tooling powering our machine learning systems, from research to production. Our goal is to make our researchers and data scientists successful, by supporting them with appropriate frameworks, environments, best practices, and by helping them productionize and scale their work. We build the systems allowing them to deliver new models safely and quickly to our customers.

As a Senior Machine Learning Engineer on our ML Infrastructure team, you will play a key role in designing and building systems to handle the lifecycle of the thousands of ML models that we produce every day. You will collaborate with various teams in the Data Science & Engineering organization, and enable the development of new data-powered products, improving our Zero Trust product offering. Some of the projects in our roadmap include introducing a robust and scalable feature tracking solution to our stack, as well as a container-based platform for our modeling jobs. By joining our team, you’ll help build the next generation of our ML Infrastructure.

What you’ll do…
Design, develop and extend our machine learning infrastructure capabilities (job orchestration, feature engineering, model monitoring and much more)
Work with researchers, engineers and data scientists to help productionize machine learning based solutions
Contribute to supporting our running models in production
Transition existing pipelines to leverage newer of components of our ML infrastructure stack
Contribute to the development of our ML & data powered Duo products
Collaborate with engineering teams throughout Duo to improve and communicate our engineering & infrastructure best practices
Link: https://jobs.cisco.com/jobs/ProjectDetail/Senior-Machine-Learning-Engineer-Duo-Security/1362167
Senior Data Scientist (Remote)
New Relic, Inc.
Using Data Scientist principles, help build Data Web Applications that power the Growth, GTM, Product, and Sales teams at New Relic. We seek Data Scientists who are passionate about building web-based data products that will enable the entire company to consume actionable insights.
Link: https://jobs.jobvite.com/newrelic/job/oKTCjfwi
ML Platform Engineer
Yelp
ML Platform Engineer, MLOps, Spark, k8s
Link: https://jobs.lever.co/yelp/53b90eff-b187-483b-969c-847cb332fb6d
Machine Learning Engineer
deepwatch
We are looking for a self-driven Machine Learning Engineer to join the Deepwatch data science team. You will be an integral part of an agile team focused on operationalizing machine learning use cases in our platform at scale by contributing to model development, deployment, and infrastructure support.
Link: https://recruiting.paylocity.com/Recruiting/Jobs/Details/1096818
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