Generative AI Engineer
- Toronto, ON, Canada
Contract
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Job details
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- Contract
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- English
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Original job description
Iris's Fortune 100 direct client is looking for an MLOps / AI Platform Technical Product Lead. Please find the job description below:
Job Title: ML Ops / AI Platform Technical Product Lead
Location: Toronto, ON (Hybrid 3 days a week)
Duration: Long-Term Contract
Domain: Banking / Financial
- Requires 10+ years of a strong blend of technical depth, system design, and leadership and management skills experience, and the ability to apply these principles to building out an evolving ML / AI platform in the cloud.
- Oversee the design, implementation, and maintenance of an MLOps solution using AWS services like Amazon SageMaker and other platforms
- Own relationships with key internal stakeholders / 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 collaboration 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 direction, coach junior members, and manage priorities
- Proven experience in the end-to-end lifecycle of ML Ops /GenAI platform build-out in the cloud (AWS preferred)
- Has several years of experience in technical product management or cloud platform product leadership
- Hands-on experience with cloud infrastructure. AWS Preferred. Strong working knowledge of AWS services such as SageMaker and related services such as ECS, IAM, CloudWatch, S3, etc.
- Nice to have familiarity with Infrastructure as Code (IaC) 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, and documentation
Thanks & Regards
Himanshu Pal
Associate Hiring Specialist
Iris Software
200 Metroplex Drive, Suite #300
Edison, NJ 08817
Mobile: +1-732-426-9328
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 with data science, engineering, architecture, cloud, DevOps, and business teams.
Requirements
Requires 10 or more years of combined technical, system design, and leadership experience, including several years in technical product management or cloud platform leadership. Candidates should have end-to-end cloud MLOps or GenAI platform experience, preferably with AWS and SageMaker, plus hands-on infrastructure experience, Python, and GitHub-based CI/CD practices.
Skills
- MLOps
- AI Platform Product Leadership
- Technical Product Management
- AWS
- Amazon SageMaker
- Cloud Infrastructure
- System Design
- Python
- GitHub Workflows
- CI/CD
- Infrastructure as Code
- Team Leadership
- Stakeholder Management
- Machine Learning
- Generative AI
Visa sponsorship
Not detected in the job text
Hiring contact
Himanshu Pal
Categories
- Technology
- Software
- Data & Analytics
- Management & Leadership
- Finance & Accounting
Keywords
- MLOps
- AI Platform
- Generative AI
- Machine Learning
- AWS
- Amazon SageMaker
- Amazon ECS
- AWS IAM
- Amazon CloudWatch
- Amazon S3
- Infrastructure as Code
- AWS CDK
- GitHub
- CI/CD
- Version Control
- Python
- Jupyter Notebooks
- Cloud Infrastructure
- System Design
- Technical Product Management
- Product Roadmap
- Data Science
- Data Engineering
- DevOps
- Banking
- Financial Services