MLOps / 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 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.
Hiring: ML Ops / AI Platform Lead
Location: Toronto, Canada (1-2 days hybrid)
Multiple Years - Long Term Opportunity
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,
Amarpreet Singh Jaggi
Sr. Talent Acquisition
Iris Software
Canada Office: 200 Bay St., Toronto, Ontario M5J 2J1
US Office: 200 Metroplex Dr. Edison, NJ 08817
Email: amarpreet.singh@irissoftware.com | www.irissoftware.com
More about this job
Responsibilities
Lead the design, implementation, and maintenance of a cloud-based MLOps and AI platform, including its product roadmap and stakeholder relationships. Direct a geographically distributed engineering team and coordinate delivery across data science, engineering, architecture, cloud, DevOps, and business groups.
Requirements
Candidates should have several years of experience building cloud-based MLOps or GenAI platforms and leading technical products or cloud platforms. Strong AWS and SageMaker knowledge, hands-on cloud infrastructure experience, Python proficiency, and familiarity with GitHub workflows, CI/CD, and version control are expected; AWS CDK is an advantage.
Skills
- MLOps
- AI Platform Leadership
- Technical Product Management
- AWS
- Amazon SageMaker
- Cloud Infrastructure
- System Design
- Stakeholder Management
- Team Leadership
- Python
- GitHub Workflows
- CI/CD
- Infrastructure as Code
- AWS CDK
- Jupyter Notebooks
- GenAI
Visa sponsorship
Not detected in the job text
Hiring contact
Amarpreet Singh Jaggi
Hiring contact email
amarpreet.singh@irissoftware.com
Categories
- Technology
- Software
- Management & Leadership
- Finance & Accounting
- Data & Analytics
Keywords
- MLOps
- AI Platform
- GenAI
- AWS
- Amazon SageMaker
- Amazon ECS
- AWS IAM
- Amazon CloudWatch
- Amazon S3
- AWS CDK
- Infrastructure as Code
- Python
- Jupyter Notebooks
- GitHub Workflows
- CI/CD
- Version Control
- Cloud Infrastructure
- Technical Product Management
- Product Roadmap
- System Design
- Data Science
- Data Engineering
- DevOps
- Investment Banking
- Financial Services