Location: Toronto, Canada
ML Ops / AI Platform technical product lead/ manager
- Require a strong blend of technical depth, system design and leadership and management skills and apply these principles to building out an evolving ML / AI platform on cloud.
- Oversee the design, implementation, and maintenance of ML Ops solution using AWS services like Amazon SageMaker and other platforms
- Own relationship with key internal stakeholder management / drive product roadmap - Ensure seamless collaboration across cross-functional teams including data scientists, data engineers, software developers, and business stakeholders, adapting communication for various people across LoBs
- Influence and collaborate with various stakeholders including platform users, architects, cloud engineering, DevOps and others
- Lead and manage a geographically distributed team (offshore) of talented engineers, provide technical directions, coach junior members, and manage priorities
Good fit if individual has:
- Proven experience in end-to-end lifecycle of ML Ops /GenAI platform build out in cloud (AWS preferred)
- Has several years of experience in technical product management or cloud platform product leadership
- Has hands on experience with cloud infrastructure. AWS Preferred. Strong working knowledge of AWS services such as SageMaker and related services such as ECS, IAM, Cloud Watch, S3 etc.
- Nice to have familiarity with Infra-as-code such as AWS CDK
- Proficient in Github workflows, CI CD, and version control practices
- Proficient in Python and its ecosystem of tooling such as Jupyter Notebooks, Packaging, Documentation