Senior AI Scientist: LLMs, ML Pipelines & Enterprise Impact in Toronto

Senior AI Scientist: LLMs, ML Pipelines & Enterprise Impact in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) On-site
E

At a Glance

  • Tasks: Design and deploy advanced ML pipelines and implement LLM solutions for enterprise-scale AI.
  • Company: Join EY Canadaโ€™s innovative AI Centre of Excellence.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Stay at the forefront of AI advancements in a dynamic work environment.
  • Why this job: Make a real impact by translating research into actionable AI applications.
  • Qualifications: Experience in AI/ML and strong collaboration skills required.

The predicted salary is between 123750 - 151250 $ per year.

EY Canada is seeking a Senior Data Scientist to join the AI Centre of Excellence within the Office of the Chief Technology Officer.

You will design and deploy advanced ML pipelines, implement LLM solutions, and translate research into enterprise-scale AI applications.

You will collaborate with cross-functional teams, contribute to actionable insights, and uphold responsible AI standards while staying current with AI/ML advancements.

#J-18808-Ljbffr

Senior AI Scientist: LLMs, ML Pipelines & Enterprise Impact in Toronto employer: EY

At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters inclusiveness and collaboration. As a Senior Manager in our Toronto office, you'll benefit from competitive compensation, comprehensive health coverage, and ample opportunities for professional growth within a globally connected team. Join us to not only advance your career but also contribute to building a better working world alongside passionate colleagues who support your development.

E

Contact Details:

EY Recruitment Team

We think you need these skills to ace Senior AI Scientist: LLMs, ML Pipelines & Enterprise Impact in Toronto

Machine Learning (ML) Pipelines
Large Language Models (LLMs)
AI Application Development
Cross-Functional Collaboration
Data Analysis
Actionable Insights Generation
Responsible AI Standards