Iris's Fortune 100 direct client is looking for an MLOps / AI Platform Technical Product Lead.

Please find the below: Job Title: ML Ops / AI Platform Technical Product Lead Location: Toronto, ON (Hybrid 3 days a week) Duration: Long-Term Contract Domain: Banking / Financial Requires 10 years of a solid blend of technical depth, system design, and leadership and management skills experience, and the ability to apply these principles to building out an evolving ML / AI platform in the cloud. Oversee the design, implementation, and maintenance of an MLOps solution using AWS services like Amazon SageMaker and other platforms Own relationships with key internal stakeholders / 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 collaboration 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 direction, coach junior members, and manage priorities Proven experience in the end-to-end lifecycle of ML Ops /GenAI platform build-out in the cloud (AWS preferred) Has several years of experience in technical product management or cloud platform product leadership Hands-on experience with cloud infrastructure. AWS Preferred.

Strong working knowledge of AWS services such as SageMaker and related services such as ECS, IAM, CloudWatch, S3, etc. Nice to have familiarity with Infrastructure as Code (IaC) 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, and documentation Thanks & Regards Himanshu Pal Associate Hiring Specialist Iris Software 200 Metroplex Drive, Suite #300 Edison, N: 1-(phone hidden)

📌 Generative AI Engineer (Toronto)
🏢 Iris Software
📍 Toronto