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/2yPyWf
Data Architect
Electronic Arts
Remote, Ontario
Link:
https://ea.gr8people.com/jobs/178684/data-architect-ii
Machine Learning Engineer Co-Op
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 Engineers are excited to work on these challenging problems and redefine solutions to directly improve various aspects of EA business.
If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a creative, and collaborative environment, this opportunity is for you.
Link:
https://ea.gr8people.com/jobs/178451/machine-learning-engineer-co-op
Sr SWE - Machine Learning
Nylas
please find the full description at the following link:
https://boards.greenhouse.io/nylas/jobs/4098421005?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic
Full Stack Developer
PBP
Full Stack Development: Design, develop, and maintain high-quality web applications using React, Next.js, and Python
Architecture and Technical Leadership: Provide technical guidance 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-engineer
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.ai
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 Scientist 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/3627110316
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 team 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.com
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 close-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/4866307004
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 sciences 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-b788-4dd33fbd412a
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.
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 environment 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
Senior ML Ops / Data Engineer
Mistplay
https://jobs.lever.co/mistplay/2f1fa04a-b0c7-49ce-a711-d5eb8f255de3
Come chat with us to learn more!
Link:
https://jobs.lever.co/mistplay/2f1fa04a-b0c7-49ce-a711-d5eb8f255de3
Senior/staff machine learning engineer
Mistplay
https://jobs.lever.co/mistplay
Link:
https://jobs.lever.co/mistplay
Senior machine learning platform engineer/data engineer
Mistplay
https://jobs.lever.co/mistplay/a5c9a55a-c2e0-47db-8fc9-a9fb1df1cc59
Come chat with us to learn more!
Link:
https://jobs.lever.co/mistplay/a5c9a55a-c2e0-47db-8fc9-a9fb1df1cc59
Sr. Data Engineer
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 pipelines 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.
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.
This one is quite complex! Easier to discuss in person - please come find us to discuss further!
Link:
https://jobs.lever.co/mistplay/84a4234d-3a14-42f4-bd6c-ccd2b619fdee
Senior Machine Learning Engineer
Loblaw Digital
https://jobs.lever.co/loblawdigital/a054a68b-51f7-4de7-9a2e-bf0a09a73519
Link:
https://www.linkedin.com/jobs/view/3605168701
Principal Software Engineer
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 Intelligence 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/
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 deploy 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
Link:
https://www.scribbledata.io/careers/
Solution Architect
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 products 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
Link:
https://www.scribbledata.io/careers/
Head Engineer
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 products 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=E9931AA63D
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 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.
Link:
https://jobs.sobeyscareers.com/sobeys/job/Data-Engineer/1037110700/
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.
Link:
https://jobs.sobeyscareers.com/job-invite/173769/
