Mlops / Ai Lead
Iris Software Inc.
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.
Location: Toronto, Canada (1-2 days hybrid)
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,
Sr. Talent Acquisition
Iris Software
US Office: 200 Metroplex Dr. Edison, NJ 08817
Email: View email address on ca.hrm.tc |
#J-18808-Ljbffr
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.
Location: Toronto, Canada (1-2 days hybrid)
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,
Sr. Talent Acquisition
Iris Software
US Office: 200 Metroplex Dr. Edison, NJ 08817
Email: View email address on ca.hrm.tc |
#J-18808-Ljbffr
Vacancy posted 38 minutes ago
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