MLOps / AI Lead
Role Overview
Technical product lead/manager for an evolving cloud-based MLOps and AI platform.
The posting describes a long-term opportunity in Toronto, with 1–2 days in a hybrid arrangement.
Key Skills for This Role
Full Job Posting
Role overview
Technical product lead/manager for an evolving cloud-based MLOps and AI platform.
The posting describes a long-term opportunity in Toronto, with 1–2 days in a hybrid arrangement.
Responsibilities
- Use technical depth, system design, and leadership to build out the ML and AI platform in the cloud.
- Oversee design, implementation, and maintenance of MLOps solutions using AWS services such as Amazon SageMaker and other platforms.
- Own key internal stakeholder relationships and drive the product roadmap.
- Coordinate data scientists, data engineers, software developers, and business stakeholders across lines of business.
- Collaborate with platform users, architects, cloud engineering, DevOps, and other stakeholders.
- Lead a geographically distributed offshore engineering team, provide technical direction, coach junior members, and manage priorities.
Candidate qualifications
- Experience with the end-to-end lifecycle of building an MLOps or GenAI platform in the cloud; AWS is preferred.
- Several years of experience in technical product management or cloud platform product leadership.
- Hands-on cloud infrastructure experience; AWS is preferred, with working knowledge of SageMaker and related services such as ECS, IAM, CloudWatch, and S3.
- Familiarity with infrastructure as code such as AWS CDK is a nice to have.
- Proficiency in GitHub workflows, CI/CD, and version control practices.
- Proficiency in Python and tooling such as Jupyter Notebooks, packaging, and documentation.
Location and work arrangement
- Location: Toronto, Canada; hybrid arrangement with 1–2 days indicated.
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