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MLOps Lead

IRIS Software, Inc.

Hybrid in Toronto, Ontario • Yesterday

Easy Apply

Full-time

Depends on Experience

Lead MLOps Engineer (Remote in MA)

Motion Recruitment Partners, LLC

Remote or Cambridge, Massachusetts • Today

Easy Apply

Full-time

$200000 - $250000

Lead MLOps Engineer (Remote EST)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$200000 - $250000

MLOps Senior Engineer - Remote

Kforce Technology Staffing

Remote or Atlanta, Georgia • Today

Contract

$38 - $47 hourly

Senior MLOps Engineer

Kforce Technology Staffing

Remote or Atlanta, Georgia • Today

Contract

$35 - $47 hourly

Lead Data Engineer

Protective

Remote or Nebraska • Today

Full-time

USD 109,500.00 - 167,833.00 per year

Associate Director, MLOps Engineering

PathAI

Remote or Boston, New York • Today

Full-time

USD 181,500.00 - 278,300.00 per year

Senior Engineer - ML Operations

Danaher Corporation

Remote • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Job Details

Skills

MLOps
Sagemaker
AWS cloud infra
Python
Offshore coordination
Stakeholder management
Project delivery

Summary

ML Ops / AI Platform Lead

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 MLOps 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: irissoft
Position Id: 9137429
Posted 1 day ago

Fitment

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Contact the job poster

Vinay Mishra

Senior Recruiter @ IRIS Software, Inc.

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Job Details

Skills

MLOps
Sagemaker
AWS cloud infra
Python
Offshore coordination
Stakeholder management
Project delivery

Summary

ML Ops / AI Platform Lead

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 MLOps 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

Dice Id: irissoft
Position Id: 9137429
Posted 1 day ago

Fitment