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ML Ops/AI Lead
Iris Software Inc.
Toronto, ON
- Full-time

Iris Software Inc.

Generative AI Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Iris's Fortune 100 direct client is looking for an MLOps / AI Platform Technical Product Lead. Please find the job description 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 strong 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, NJ 08817

Mobile: +1-732-426-9328

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More about this job

Responsibilities

Lead the design, implementation, and maintenance of a cloud-based MLOps and AI platform, including its product roadmap and stakeholder relationships. Direct a geographically distributed engineering team and coordinate with data science, engineering, architecture, cloud, DevOps, and business teams.

Requirements

Requires 10 or more years of combined technical, system design, and leadership experience, including several years in technical product management or cloud platform leadership. Candidates should have end-to-end cloud MLOps or GenAI platform experience, preferably with AWS and SageMaker, plus hands-on infrastructure experience, Python, and GitHub-based CI/CD practices.

Skills

MLOps
AI Platform Product Leadership
Technical Product Management
AWS
Amazon SageMaker
Cloud Infrastructure
System Design
Python
GitHub Workflows
CI/CD
Infrastructure as Code
Team Leadership
Stakeholder Management
Machine Learning
Generative AI

Visa sponsorship

Not detected in the job text

Hiring contact

Himanshu Pal

Keywords

MLOps
AI Platform
Generative AI
Machine Learning
AWS
Amazon SageMaker
Amazon ECS
AWS IAM
Amazon CloudWatch
Amazon S3
Infrastructure as Code
AWS CDK
GitHub
CI/CD
Version Control
Python
Jupyter Notebooks
Cloud Infrastructure
System Design
Technical Product Management
Product Roadmap
Data Science
Data Engineering
DevOps
Banking
Financial Services

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