Hybrid AI Lead & Production ML Architect in Toronto

Hybrid AI Lead & Production ML Architect in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead AI projects and design end-to-end AI/ML pipelines for diverse industries.
  • Company: Join Oliver Wyman Quotient, a leader in innovative consulting solutions.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a team that values innovation and excellence.
  • Why this job: Make a real impact by driving responsible AI initiatives in a dynamic environment.
  • Qualifications: Experience in AI development and strong collaboration skills required.

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

Oliver Wyman Quotient is seeking a Senior Lead AI Developer to manage technical AI projects and architect end-to-end AI/ML pipelines.

You will design and deploy AI/ML systems, work with partners and clients to craft solutions, and lead production-grade AI tooling across industries.

You will collaborate with Quotient specialists, apply best practices in modelling, data engineering and code hygiene, and drive scalable, responsible AI initiatives within a dynamic consulting environment.

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Hybrid AI Lead & Production ML Architect in Toronto employer: Oliver Wyman

At Oliver Wyman Quotient, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Lead AI Developer, you will have access to cutting-edge technology and the opportunity to work alongside industry experts, ensuring your professional growth while contributing to impactful AI solutions. Our commitment to employee development, coupled with a dynamic consulting environment, makes this an ideal place for those seeking meaningful and rewarding careers in AI and machine learning.

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Contact Details:

Oliver Wyman Recruitment Team

We think you need these skills to ace Hybrid AI Lead & Production ML Architect in Toronto

AI/ML System Design
End-to-End AI/ML Pipeline Architecture
Technical Project Management
Collaboration with Partners and Clients
Modelling Best Practices
Data Engineering
Code Hygiene