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317,605 jobs across our Canadian network. How we count
Jobs in Canada
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AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
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Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical…
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Forward Deployed Engineer, Sovereign AI
Cohere
…value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data…
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GenAI and Python Developer (Hybrid)
Morgan Stanley
We’re seeking someone to join our team as a GenAI and Python Developer to lead the strategy, architecture, delivery, and evolution of complex technology solutions while driving engineering…
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GenAI and Python Developer (Hybrid)
Morgan Stanley
We’re seeking someone to join our team as a GenAI and Python Developer to lead the strategy, architecture, delivery, and evolution of complex technology solutions while driving engineering…
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GenAI Data Engineer
Tiger Analytics Inc.
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.
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Principal Data Scientist (m/f/d)
AutoTrader.ca
…championing the team’s evolving role in a rapidly advancing GenAI…
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Applied AI Engineer
Nexxa.AI
Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.
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LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
Added
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
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