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ML Ops/AI Lead

  • Toronto, ON
  • Hybrid
  • Posted Oct 29, 2026
  • 1 position

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Employment type
Full-time
Experience level
Lead · 10+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Lead the design, implementation, and maintenance of a cloud-based ML/AI platform and its MLOps solutions, including the product roadmap and stakeholder relationships. Manage and guide a geographically distributed engineering team while coordinating with data, software, cloud, DevOps, architecture, and business teams.

Job details

Iris's client, one of the world's largest multinational investment banking and financial services corporation is looking to hire a ML Ops/AI Lead Our direct client is a is a world-leading financial services company, provides consumers, corporations, governments, and institutions with a broad range of financial services and products. Title: ML Ops/AI Lead Location: Toronto, ON (Hybrid) Duration: 24+ Months 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 About Iris Software Inc. Iris Software, Inc. (registered as SSA Infosystems in Canada) is a CMMi Level 5 New Jersey based company providing information technology solutions to clients nationwide for over 30 years. Iris has been growing at over 100% annually. In a program sponsored by Price Waterhouse, PNC Bank and Marsh, Iris has been honored for being - One of New Jersey's Finest 25 companies for the year 2001 and 2002. - Iris is also ranked 75th among Inc 500 s list of privately held companies for year 2001. - NJ Technology FAST 50 Company for year 2002. In a competitive industry, we distinguish ourselves by reliability, technical expertise and a history of successfully completed projects for clients ranging from mid-sized to Fortune 1000 companies. Regards, Neeraj Singh Executive - TA

What you’ll do

Lead the design, implementation, and maintenance of a cloud-based ML/AI platform and its MLOps solutions, including the product roadmap and stakeholder relationships. Manage and guide a geographically distributed engineering team while coordinating with data, software, cloud, DevOps, architecture, and business teams.

Requirements

Candidates should have end-to-end experience building cloud-based MLOps or GenAI platforms, preferably on AWS, along with hands-on cloud infrastructure experience and several years in technical product management or cloud platform leadership. The role also calls for knowledge of SageMaker and related AWS services, Python, GitHub workflows, CI/CD, version control, and preferably infrastructure-as-code tools such as AWS CDK.

Listed skills

  • CI/CD · Preferred
  • Amazon Web Services · Preferred
  • Team Leadership · Preferred
  • Stakeholder Management · Preferred
  • Python · Preferred
  • Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Machine Learning Operations
  • Artificial Intelligence
  • AWS
  • Amazon SageMaker
  • Cloud Infrastructure
  • Technical Product Management
  • Platform Product Leadership
  • Python
  • GitHub Workflows
  • CI/CD
  • Infrastructure as Code
  • System Design
  • Stakeholder Management
  • Team Leadership
  • Cross-Functional Collaboration

Job areas

  • Technology
  • Software
  • Management & Leadership
  • Data & Analytics
  • Finance & Accounting

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