MLOps / AI Lead

Iris Software Inc.; Toronto; Hybrid; CAD 150,000 - 190,000; Full time

Job summary

Iris Software is seeking an ML Ops / AI Platform Technical Product Lead in Toronto to drive cloud-based ML platform development for multinational clients. You will blend technical depth with product leadership, shaping roadmaps and coordinating data scientists, engineers and business stakeholders.

The role requires hands-on AWS SageMaker experience, platform design, offshore team management, and strong communication across LoBs.

Qualifications

• Experience in end-to-end lifecycle of ML Ops platform projects.
• Proven track record in technical product management or cloud platform leadership.
• Hands-on cloud infrastructure experience with AWS services.

Responsibilities

• Oversee design, implementation and maintenance of ML Ops on cloud.
• Own stakeholder management and drive the product roadmap across cross-functional teams.
• Lead and coach a geographically distributed engineering team.
• Collaborate with platform users, architects, cloud engineering and DevOps.

Skills

ML Ops

Leadership

Python

AWS

Tools

AWS SageMaker

S3

ECS

IAM

CloudWatch

Job description

Iris Software is hiring ML Ops / AI Lead multinational investment banking and financial services corporations. Our client is world-leading financial services companies, provides consumers, corporations, governments, and institutions with a broad range of financial services and products.

Location: Toronto, Canada (1-2 days hybrid)

ML Ops / AI Platform technical product lead/ manager

• 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

Kind regards,

Sr. Talent Acquisition

Iris Software

US Office: 200 Metroplex Dr. Edison, NJ 08817

Email: [e-mail] | www.irissoftware.com