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Iris Software Inc.

AI/ML Lead (Sagemaker)

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 9, 2026
Posting language: English
Posted: Nov 9, 2026

Original 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.

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More about this job

Responsibilities

Lead the design, implementation, and maintenance of cloud-based MLOps solutions, including platforms built with Amazon SageMaker and other AWS services. Own stakeholder relationships and the product roadmap, coordinate cross-functional teams, and lead a geographically distributed engineering team through technical direction, coaching, and priority management.

Requirements

The role calls for extensive experience building and managing cloud-based MLOps or GenAI platforms, preferably on AWS, along with technical product or cloud platform leadership experience. Candidates should have hands-on cloud infrastructure experience and working knowledge of SageMaker, related AWS services, infrastructure as code, GitHub workflows, CI/CD, version control, and Python tooling.

Skills

Amazon SageMaker
AWS
AI/ML
MLOps
AI Platform Leadership
Technical Product Management
Cloud Infrastructure
System Design
Stakeholder Management
Team Leadership
Amazon ECS
AWS IAM
Amazon CloudWatch
Amazon S3
AWS CDK
Python

Visa sponsorship

Not detected in the job text

Keywords

Amazon SageMaker
AWS
Artificial Intelligence
Machine Learning
MLOps
GenAI
Cloud Platform
Cloud Infrastructure
Technical Product Management
Product Roadmap
System Design
Amazon ECS
AWS IAM
Amazon CloudWatch
Amazon S3
AWS CDK
Infrastructure As Code
GitHub Workflows
CI/CD
Version Control
Python
Jupyter Notebooks
Software Packaging
Technical Leadership
Stakeholder Management
Cross-Functional Collaboration
Distributed Teams
Investment Banking
Financial Services

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