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ML Ops/AI Lead

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

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

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

Categories

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

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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