Remote Senior ML Engineer - Agentic AI Platform Lead

UT MD Anderson; Houston (TX); On-site; USD 146,500 - 219,500; Full time

Benefits offered by this job

Paid medical benefits

Generous paid time off (PTO)

Strong retirement plans

Tuition benefits

Job summary

UT MD Anderson in Texas seeks a Senior Machine Learning Engineer for its agentic AI team. You will lead the design and operation of AI platform capabilities to ensure safe deployment of autonomous AI systems.

The ideal candidate will have a strong healthcare background with over 5 years of experience in machine learning engineering or data science, and will collaborate with diverse teams to drive impactful AI initiatives.

Qualifications

• 5+ years of experience in machine learning engineering or data science.
• Experience with deploying AI systems in regulated environments.
• Ability to produce clear technical documentation.

Responsibilities

• Lead design and operation of AI platform capabilities.
• Develop standard integration patterns for AI agents.
• Ensure platform compliance with regulatory standards.

Skills

Experience building AI or ML platforms

Proficiency in Python

Knowledge of agentic AI frameworks

Workflow orchestration tools

Analytical evaluation strategies

Education

Bachelor's degree in relevant field

Master's degree or PhD preferred

Tools

Kubernetes

PyTorch

Job description

UT MD Anderson in Texas seeks a Senior Machine Learning Engineer for its agentic AI team. You will lead the design and operation of AI platform capabilities to ensure safe deployment of autonomous AI systems.

The ideal candidate will have a strong healthcare background with over 5 years of experience in machine learning engineering or data science, and will collaborate with diverse teams to drive impactful AI initiatives.