Senior AI/ML Lead (Sagemaker) position - Jersey City, NJ / Chicago, IL

Minimum 10+ years of experience – Please don’t share the resume if candidate doesn’t have 10 years of experience. 

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

Work location: 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.