AI/ML Lead (Sagemaker)

Job Description

Iris's client, one of the world's largest multinational Investment banking and financial services corporations, is looking to hire an AI/ML Lead opportunity.

Work location: Toronto, ON / Halifax / Jersey City, NJ / Chicago, IL (Hybrid Onsite – 2 to 3 days a week office) – ( any work location is fine )

Mandatory skills: Sagemaker, AWS, AI/ML

ML Ops / AI Platform technical product lead/ manager

Job description:

• 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 personas 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.