Machine Learning Engineer jobs in Canada
AI-Powered Data Engineer — Autonomous Pipelines
NS Partners
SAP HR IT Analyst — ECC6 & HCM Solutions
Harris Geospatial Solutions
Senior Full-Stack Engineer: Data Pipelines & APIs (Toronto)
Source Code
Senior Data Science Consultant - Flexible Work
Simon-Kucher & Partners
Discover more opportunities than anywhere else. Find more jobs nowSenior Consultant - Data Science - Toronto
Simon-Kucher & Partners
Senior Full-Stack Engineer: Data Pipelines & Microservices
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Senior Data Scientist: AI/ML Production & Insights
Donuts Inc.
Connect with headhunters to apply for similar jobsSr. Data Scientist I (Hybrid)
Donuts Inc.
Senior Banking & Finance Data Analyst — Capital Tech
Cognizant
Senior Capital Management Tech Analyst - Data & SQL
Cognizant
Data Scientist II: GenAI, Forecasting & Production ML
Groupe Dynamite Inc.
Groupe Dynamite Inc. Data Scientist II
Groupe Dynamite Inc.
Staff Data Scientist: Pricing & Production ML
Clutch Canada
Staff Data Scientist
Clutch Canada
Senior Capital Management Tech Analyst - Data & SQL
Cognizant
Senior Software Engineer, Data Pipelines, Infrastructure
Lyft
Benefits Specialist: Data-Driven Process Innovator
Intello Technologies Inc.
Data Analyst
Portage Mutual Careers Centre
Data Scientist / Machine Learning Engineer (Recommendation Systems)
Beatdapp
Senior Data Scientist / Machine Learning Engineer - Listing Quality
Faire
URGENT – Machine Learning Engineer (Python, LLM, SQL), PERMANENT Hybrid
VTRAC Consulting Corporation
AI-Powered Data Engineer — Autonomous Pipelines
Job summary
A leading asset management firm is seeking a Data Engineer in Vancouver to design and build data pipelines for AI integration. This role involves developing robust processes for integrating structured and unstructured data, implementing data governance measures, and ensuring AI systems are reliable and secure. Ideal candidates will have strong SQL and Python skills with cloud platform experience. The position operates on a hybrid model with competitive compensation including an annual performance bonus.
Qualifications
- 2+ years' experience building resilient, scalable data pipelines.
- Strong skills in SQL, Python, and orchestration frameworks.
- Experience with cloud platforms and integration with AI/ML services.
Responsibilities
- Develop scalable ETL/ELT processes for data integration.
- Implement controls for security, privacy, compliance, and bias mitigation.
- Enrich datasets with semantic context and metadata.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.