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Posted on 2026/01/17

AI/ML Lead

Mitchell Martin

Houston, TX, United States

Full-time

Qualifications

  • 5+ years of experience in data engineering, ML engineering, or hybrid AI/data roles with production experience
  • Excellent communication skills, with the ability to present to executives and explain technical concepts to non-technical stakeholders
  • Experience with cloud platforms and machine learning frameworks
  • Proven ability to translate business problems into pragmatic AI/ML solutions
  • Experience working across multiple product teams or engineering organizations

Benefits

  • Pay Range:$
  • 180,000 Per Year

Responsibilities

  • You will spearhead the development of AI and machine learning practices on a strategic data platform, combining technical leadership with hands-on architecture
  • This role involves cross-product coordination and practical delivery, leveraging technologies like cloud platforms and machine learning frameworks
  • Define and establish AI and data strategies to build capabilities for product teams
  • Architect platforms for AI features across multiple products, including ML pipelines and model deployment
  • Guide product teams on AI feasibility, data structuring, and decision-making between ML and simpler approaches
  • Present technical strategies to executives and translate business problems into technical requirements
  • Collaborate globally to capture and prioritize AI and data needs, ensuring delivery through shared patterns

Full Description

Title: AI/ML Lead

Location: Remote

Position Type: Full Time

Compensation

Pay Range:$180,000 Per Year

Job Description:

Join our team as a lead in AI/ML, working remotely in a full-time capacity.

You will spearhead the development of AI and machine learning practices on a strategic data platform, combining technical leadership with hands-on architecture.

This role involves cross-product coordination and practical delivery, leveraging technologies like cloud platforms and machine learning frameworks.

Key Responsibilities

Define and establish AI and data strategies to build capabilities for product teams.

Architect platforms for AI features across multiple products, including ML pipelines and model deployment.

Guide product teams on AI feasibility, data structuring, and decision-making between ML and simpler approaches.

Present technical strategies to executives and translate business problems into technical requirements.

Collaborate globally to capture and prioritize AI and data needs, ensuring delivery through shared patterns.

Qualifications

5+ years of experience in data engineering, ML engineering, or hybrid AI/data roles with production experience.

Excellent communication skills, with the ability to present to executives and explain technical concepts to non-technical stakeholders.

Experience with cloud platforms and machine learning frameworks.

Proven ability to translate business problems into pragmatic AI/ML solutions.

Experience working across multiple product teams or engineering organizations.

Core Technologies

Cloud Platforms | Machine Learning Frameworks | Data Pipeline Engineering

Contact Information

James Johnston,james.johnston@itmmi.com

Onboarding Expectations

Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4

EEO Statement

Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement

About the Company:

Mitchell Martin

OUR FOCUS IS GROWTH

It’s not just about filling job openings.

It’s about enabling growth and inspiring success.

That’s what we do.

Mitchell Martin is one of the nation’s largest staffing companies, with offices throughout the US as well as in India and the Philippines.

We help drive success for both people and companies by helping them achieve positive growth.

We do this by building strong relationships and developing a deep understanding of the people we work with, in order to facilitate the best matches for both sides of the equation.

Company Size:

100 to 499 employees

Industry:

Staffing/Employment Agencies

Founded:

1984

Website:

https://www.mitchellmartin.com

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