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