Jobs Posted on the Whova Community Board of Toronto Machine Learning Summit (TMLS) Annual Conference & Expo 2023
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Senior Software Engineer - Knowledge Base
Voiceflow We're building a new team at Voiceflow to handle the intersection of data, ML and conversational assistants. More info in the link.
... Link:https://wellfound.com/l/2yPyWfSee More >>
Electronic Arts We are looking to build better Machine Learning toolkits to empower deployment strategy on EA games with self-serve, scalable and direct-to-players fashion. Our Machine Learning E... ngineers are excited to work on these challenging problems and redefine solutions to directly improve various aspects of EA business.
PBP Full Stack Development: Design, develop, and maintain high-quality web applications using React, Next.js, and Python Architecture and Technical Leadership: Provide technical gu... idance and contribute to the system design and roadmap, ensuring scalability, performance, and maintainability. Hands-on Coding: Write clean, efficient, and reusable code, following best practices and industry standards. Database Integration: Work with Postgres and GraphQL to design and optimize database schemas and queries Team Collaboration: Collaborate closely with product managers, UX/UI designers, and other engineers to deliver solutions that meet business objectives and customer needs Mentoring: Share your expertise and provide guidance to junior engineers, fostering a collaborative and growth-oriented engineering culture
Link:https://careers.poweredbypeople.com/jobs/2845394-sr-full-stack-engineerSee More >>
English Audio Transcriber
LXT AI Inc. Remote, flexible, casual project work for English native speakers based in Canada. Transcription and content moderation of audio.
... Link:lxt.aiSee More >>
Machine Learning Engineer - LLM (Remote)
ODAIA WHAT’S ON OFFER
This is an excellent opportunity to join a rapidly growing team in a technically challenging and rewarding role! Reporting to the Machine Learning Data Scie... ntist Development Manager, the Machine Learning Engineer - LLM is experienced and passionate about building creative and novel AI solutions. Working collaboratively with other feature teams and cross-functionally throughout the development process, the Machine Learning Engineer - LLM ensures the product is functionally complete and technically solid. WHAT YOU WILL DO
Drive the development and integration of Large Language Models (LLM) into our major products, Maptual Field & Maptual Sphere, to supercharge the company’s engineering team Collaborate with the cross-functional team to identify and implement Natural Language Processing (NLP) and LLM solutions that can solve complex problems and deliver innovative outcomes Translate complex LLM and NLP concepts into easy-to-understand language for nontechnical stakeholders, ensuring the broad understanding and adoption of our AI solutions
Display creativity and self-startership to navigate new frontiers in the pharma space, driving innovation with Large Language Models and Transformer architectures Use your Python wizardry to build robust, efficient, and maintainable LLM-powered applications, taking projects from inception to completion
Balance your technical expertise with exceptional communication skills to ensure all stakeholders understand and appreciate the value and impact of LLM solutions.
Link:https://www.linkedin.com/jobs/view/3627110316See More >>
Data Science Manager
Alert Labs Alert Lab uses a fleet of IoT devices monitoring everything from water flow rates to the pressure levels in air-conditioners to reduce waste and prevent damage. The Data Science t... eam is responsible for turning this raw data into actionable insights for our customers and internal stakeholders.
You’ll have ownership from project initiation through experimentation, development and production. You will engage with the data science and technology community to understand the emerging trends and new technologies disrupting our industry. You will contribute to long-term roadmap planning and help us decide what hardware, firmware, software and data science projects will help us meet our strategic business goals. You will help us build out the foundation of a long term data science team and mentor other developers.
PS: Are you a strong individual contributor who wants to work at a company doing exciting, environmentally-friendly work? Reach out anyway. Our team always has room for great talent.
Responsibilities:
Define and drive the overall data science strategy and roadmap for Alert Labs.
Oversee the design, development, and implementation of data models, algorithms, and machine-learning techniques.
Provide technical guidance and mentorship to team members, ensuring high-quality work and professional growth.
Identify gaps in the team and work with us to hire the correct talent to fill those gaps in order to meet our strategic objectives.
Evaluate and recommend tools, platforms, and frameworks to enhance productivity and efficiency.
Must Haves:
An undergraduate honours degree in computer science, or data science
At least 6 years of professional software development experience, including at least 2 years formally leading a team.
A track record of successfully deriving actionable information from noisy real-world data (eg. IoT sensors, machine vision, robotics)
Link:alertlabs.comSee More >>
Mobile Software Engineer (AI Team)
Exo Imaging Inc. EXO is seeking a talented mobile software engineer to join a cross-functional engineering team to help design and develop EXO’s flagship AI products. You will collaborate with a c... lose-knit team of highly accomplished and deeply technical researchers, clinicians and engineers focused on delivering groundbreaking technologies. You will use your practical knowledge and experience with computer science, mobile (iOS and Android) application development, and user experience to deliver the next generation of medical devices.
Link:https://boards.greenhouse.io/exo/jobs/4866307004See More >>
Data Engineer/ ML OPS
Veeva Systems As an engineering leader with vision and developer efficiency, you will drive our data platform to enable our talented team of data scientists and consultants to help life science... s companies better understand patients and the healthcare professionals who treat them. What you will do: - Apply your system design experience to define, design & implement discrete services & building blocks for analytics, and machine learning workflow, and orchestration tools - Design, develop and maintain data pipeline and automation framework(s) for batch, event, and streaming data in a cloud-native environment - Design and implement a framework for data source profiling for optimal query performance
Link:https://jobs.lever.co/veeva/b866721e-0fe2-44ca-b788-4dd33fbd412aSee More >>
Data Engineer
Manifest Climate Make an impact.
If you want to channel your passion for climate consciousness into your daily work and embrace a culture of performance, this is the opportunity you’ve been... looking for. As a Data Engineer at Manifest Climate, you will have the opportunity to contribute to vital work in the climate risk planning field while growing your skills and career in a dynamic and supportive environment.
How you will make a difference? ● Maintain and optimize our data extraction tools and scripts to enhance operational efficiency. ● Work with team members to develop modular data processing components and pipelines. ● Improve the modularity of our data processing code for easier maintenance and seamless integration with other systems. ● Develop effective strategies for data delivery, including considerations for APIs, batch processing, load balancing, and scalability. ● Establish and maintain a robust QA/dev environment. ● Streamline the scheduling and processing of our ETL deployments for optimal performance. ● Implement unit tests for ETL tables to ensure data integrity. ● Improve the interaction between our business intelligence tools and our primary data sources. ● Develop and maintain comprehensive documentation for data processes, systems, and workflows. ● Enhance data quality and availability to support business development opportunities. ● Collaborate with product development teams to facilitate data integration and break down data silos. ● Support third-party integration with environmental data vendors to bolster our climate risk planning initiatives.
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Data scientist
Gradient Ascent We are a rapidly growing, mission-driven company that helps businesses get started with Al by developing end-to-end Al-powered products and solutions. This is a fast-paced environ... ment where we work quickly and creatively to build solutions for a variety of exciting and challenging problems for diverse clients. We're a start-up: we're moving fast and we're working hard.
You'll collaborate with a fun, caring, global team who believes in good engineering, honest and genuine relationships, good design, being nerdy, and taking pride in one's work. You'll be given a lot of opportunities to learn, leach, and progress in your career.
To be successful in the position, you need to: Deeply held passion for problem solving, math, software, and science. . Be curious (Fall in love with the data/problem) - take ovinership problems • Be ethical, honest, trustworthy, and discrete • Care and collaborate - be a team player • Be calm under pressure
Link:
None
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OCS - Ontario Cannabis Store We are looking for a Senior Data Engineer to join our Enterprise Data & Analytics team. The Senior Data Engineer is responsible for building and maintaining end-to-end data pi... pelines and data orchestration within OCS integrated systems.
As a Senior Data Engineer, you will contribute to data related projects including tasks breakdown and estimation, new technological investigation and POC, develop detailed technical design, Source-to-Target mapping documentation, orchestration design, ETL implementation, test plan/test cases creation and reviewing, and develop a plan for deployment.
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Senior economist (data/actuary science)
Mistplay We are building. Anew advanced analytics and data science team to develop loyalty economy features to improve our apps offering.
Scribble Data Scribble Data is an advanced analytics and LLM data products platform company.
We are looking for a capable principal engineer to own the engineering of our Enrich Intellig... ence platform. You will be focused on maintaining and extending functionality for Enrich with high attention-to-detail ensuring trust, robustness, performance, and ease of use
Your Strengths 8+ years of industry experience building data infrastructure including packaging, deploying, and monitoring data systems Experience owning and developing a product in early stages is a big plus Fluency in Python, SQL - Java knowledge will be a plus Experience with front-end and/or being full-stack is a plus Proficiency in designing, implementing and automating systems for data workflow management Proficiency in developing and publishing APIs using web services Proficiency in designing robust, scalable data architectures Familiarity using distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), and scalable search (e.g. Elasticsearch) Experience with containerization (e.g. Docker/Kubernetes) and other deployment tooling Familiarity with big data technologies like map-reduce, NoSQL, Spark, HBase, and Hive Experience with data security protocols, data access controls, AWS/GCP/Azure security mechanisms at the data and access levels, database security, scripting attacks, and API security Having built and shipped a product at a startup will be a plus Bachelors/Masters degree in Computer Science
Link:https://www.scribbledata.io/careers/See More >>
Software Engineer
Scribble Data Scribble Data is an advanced analytics and LLM data products platform company.
You will develop high-performance data processing systems. You will develop and deplo... y robust, distributed, scalable, near real-time, data processing infrastructure that can support various downstream applications including reporting, analytics, user intelligence, machine learning, and decision support. You have strong software engineering skills, system-level thinking, and problem-solving ability paired with the love to build and ship robust code. You accept nothing less than top-quality code and think in terms of code reviews, unit, integration, end-to-end tests in a fast-moving development environment, delivering incremental value daily.
Your Strengths 5+ years industry experience; plus points if any of those were spent building data infrastructure Fluency in Python; you know the language and its quirks, not having just written scripts Strong command of SQL Strong understanding of computer science concepts (OOD, algorithm design, data structures, algorithms, execution, and memory optimization) Experience developing and publishing APIs using web services Plus points for experience implementing systems for data workflow management Bachelors/Masters in Computer Science
Nice to Have Experience using at least some among distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), and scalable search (e.g. Elasticsearch) Experience with big data technologies like map-reduce, NoSQL, Spark, HBase, and Hive Experience with data security protocols and data access controls
Scribble Data Scribble Data is an advanced analytics and LLM data products platform company.
Our Enrich Intelligence platform is built to help teams rapidly build trustworthy data produ... cts for high-impact advanced analytics use cases. Enrich provides a full-stack solution for data preparation and lightweight machine learning (ML) algorithm execution, coupled with a low-code consumption interface designed for business users. With the launch of its new Hedwig engine, organizations can now utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining machine learning with a built-in rules engine.
Proven record of hands-on data science and/or ML engineering experience 8+ years of industry experience owning, building, and shipping data-driven solutions to production Fluent in Python and SQL (you have deployed production-grade code and not just developed prototypes in Jupyter notebooks including packaging) Strong algorithmic and data structure skills Experience developing and implementing best-in-class algorithms for multiple among user modeling, entity matching, recommendation systems, search systems, natural language understanding, and time series analysis Proficient with Python data science libraries (pandas, numpy, scikit-learn, spacy, etc.) Experience with R, Matlab or other statistical computing languages Experience with deep learning frameworks like Tensorflow, Keras, PyTorch, etc. Experience with Langchain or other LLM development frameworks is a plus Comfortable with big data technologies like map-reduce, noSQL, Spark, HBase, Hive Having built and shipped a product at a startup will be a plus
Masters degree or higher in Computer Science with a background in statistics Strong communication and collaboration skills to work with stakeholders from different backgrounds
Scribble Data Scribble Data is an advanced analytics and LLM data products platform company.
Our Enrich Intelligence platform is built to help teams rapidly build trustworthy data produ... cts for high-impact advanced analytics use cases. Enrich provides a full-stack solution for data preparation and lightweight machine learning (ML) algorithm execution, coupled with a low-code consumption interface designed for business users. With the launch of its new Hedwig engine, organizations can now utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining machine learning with a built-in rules engine.
Link:https://app.pyjamahr.com/careers?company=scribbledata&job_id=4141&company_uuid=E9931AA63DSee More >>
Data Engineer
Sobeys Inc Overview
We are looking for a highly qualified Data Engineer to join our team and create and maintain optimal data pipeline architecture. In this role, you will be respons... ible for building infrastructure, identifying internal process improvements, and working closely with analytics and business teams to improve data models. As a Data Engineer, you will have the opportunity to:
Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements utilizing both cloud and SAP toolsets. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, SAP, and Azure technologies. Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes. Write unit/integration tests, contribute to operational and design repositories. Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues. Define and catalog company data assets, data models, and pipeline jobs. Design data integrations and data quality framework. Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Link:https://jobs.sobeyscareers.com/sobeys/job/Data-Engineer/1037110700/See More >>
Data Engineer
Sobeys We are looking for a highly qualified Data Engineer to join our team and create and maintain optimal data pipeline architecture. In this role, you will be responsible for building... infrastructure, identifying internal process improvements, and working closely with analytics and business teams to improve data models. As a Data Engineer, you will have the opportunity to:
Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements utilizing both cloud and SAP toolsets. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, SAP, and Azure technologies. Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes. Write unit/integration tests, contribute to operational and design repositories. Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues. Define and catalog company data assets, data models, and pipeline jobs. Design data integrations and data quality framework. Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
