MLOps Architect

2 weeks ago

Ontario ON, Canada Iris Software Inc. Full time

GreetingsOne of our direct banking clients is looking to hire an MLOps Architect in Toronto, ON. This role is hybrid (2-3 days onsite per week) in downtown Toronto.Position: MLops ArchitectDuration: Long-termLocation: Toronto, ON Work Mode: HybridRequire 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 the cloud. Oversee the design, implementation, and maintenance of ML Ops solution using AWS services like Amazon SageMaker and other platformsOwn 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 othersLead and manage a geographically distributed team (offshore) of talented engineers, provide technical directions, coach junior members, and manage priorities RequiredProven 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 leadershipHas 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 practicesProficient in Python and its ecosystem of tooling, such as Jupyter Notebooks, Packaging, and Documentation

  • MLOps Architect

    2 weeks ago

    Toronto, ON, Canada Iris Software Inc. Full time

    Greetings! One of our direct banking clients is looking to hire an MLOps Architect in Toronto, ON. This role is hybrid (2-3 days onsite per week) in downtown Toronto. Position: MLops Architect Duration: Long-term Location: Toronto, ON Work Mode: Hybrid Require a strong blend of technical depth, system design, and leadership and management skills, and apply...

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    Toronto, On, Canada Iris Software Inc. Full time

    Greetings! One of our direct banking clients is looking to hire an MLOps Architect in Toronto, ON. This role is hybrid (2-3 days onsite per week) in downtown Toronto. Position: MLops Architect Duration: Long-term Location: Toronto, ON Work Mode: Hybrid Require a strong blend of technical depth, system design, and leadership and management skills, and apply...

  • MLOps Architect

    2 weeks ago

    Toronto, On, Canada Iris Software Inc. Full time

    Greetings! One of our direct banking clients is looking to hire an MLOps Architect in Toronto, ON. This role is hybrid (2-3 days onsite per week) in downtown Toronto. Position: MLops Architect Duration: Long-term Location: Toronto, ON Work Mode: Hybrid Require a strong blend of technical depth, system design, and leadership and management skills, and apply...

  • MLOps Architect

    2 weeks ago

    Toronto, ON, Canada Iris Software Inc. Full time

    Greetings! One of our direct banking clients is looking to hire an MLOps Architect in Toronto, ON. This role is hybrid (2-3 days onsite per week) in downtown Toronto. Position: MLops Architect Duration: Long-term Location: Toronto, ON Work Mode: Hybrid Require a strong blend of technical depth, system design, and leadership and management skills, and apply...

  • MLOps Architect

    2 weeks ago

    Toronto, ON, Canada Iris Software Inc. Full time

    Greetings! One of our direct banking clients is looking to hire an MLOps Architect in Toronto, ON. This role is hybrid (2-3 days onsite per week) in downtown Toronto. Position: MLops Architect Duration: Long-term Location: Toronto, ON Work Mode: Hybrid Require a strong blend of technical depth, system design, and leadership and management skills, and apply...

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