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Added 11 mins ago
T
Software Engineer II (SDET)
TD
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- Full-time
Document and verify system components, applications, system infrastructure, security, integration, operability and engineering related architecture designs associated with a program or…
Added 11 mins ago
C
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Added 11 mins ago
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Added 11 mins ago
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Spécialiste des tests système / System Test Specialist
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F
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Added 12 mins ago
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Added 41 mins ago
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Added 57 mins ago
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…incident. Provides immediate response to production program or system problems. Participates in testing cycles to ensure the ability to deploy and operability of infrastructure and…
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
Systems Administrator 3 - Enterprise Observability
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Added 1 hour ago
Staff Product Manager, Risk
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Strong technical judgment across data, machine learning, AI, APIs, platforms, and system architecture.

Iris Software Inc.

ML Ops/AI Lead

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

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

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More about this job

Responsibilities

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.

Skills

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

Visa sponsorship

Not detected in the job text

Hiring contact

Neeraj Singh

Keywords

Machine Learning Operations
Artificial Intelligence
GenAI
AWS
Amazon SageMaker
Amazon ECS
AWS IAM
Amazon CloudWatch
Amazon S3
AWS CDK
Cloud Infrastructure
Technical Product Management
Cloud Platform Leadership
Product Roadmap
System Design
Python
Jupyter Notebooks
GitHub Workflows
CI/CD
Version Control
Infrastructure as Code
DevOps
Data Science
Data Engineering
Stakeholder Management
Cross-Functional Collaboration
Distributed Team Leadership

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