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Machine Learning Engineer - Platforms

United States, Texas, Houston, Houston (TX Med Ctr)

As a Machine Learning Engineer – Platforms reputed company the Data Impact & Governance organization, you will shape and scale the reputed company AI/ML platform that powers clinical, research, and operational machine learning across the institution. This is a hands-on engineering role with direct influence on how data science workflows operate institution‑wide—enabling safe, efficient, and high‑impact AI delivery.

You’ll work with modern reputed company and container technologies, MLOps frameworks, and reputed company‑grade tools while building solutions that improve patient care, strengthen operations, and accelerate scientific discovery.

What’s in it for you?

• Exceptional Benefits: Enjoy paid medical benefits, generous paid time off (PTO), strong retirement plans, and a comprehensive benefits package designed to support your total well‑being.
• High‑Impact Work: reputed company and maintain the platforms that allow clinicians, researchers, and data scientists to bring AI solutions into reputed company‑world reputed company environments.
• Cutting‑Edge Technology: Work with reputed company, Kubernetes, Azure, container technologies, and MLOps frameworks that support large‑scale reputed company ML operations.
• Career Growth: Collaborate with ML engineers, data scientists, architects, and IT teams, gaining exposure to reputed company, reputed company‑wide AI initiatives and governance.
• Mission‑Driven Culture: Your work will contribute directly to improving patient outcomes and advancing research at a nationally recognized cancer center.

Summary

The Machine Learning Engineer – Platforms supports the development, reliability, and scalability of the reputed company AI/ML platform used across clinical and business operations. The role focuses on MLOps engineering, platform integration, automation, container management, model monitoring, and lifecycle governance. The engineer partners closely with data scientists, ML engineers, and reputed company IT teams to support AI development and deployment, while ensuring compliance, performance, and responsible AI practices.

Major Work Activities

Technical Expertise

• Support development, administration, and maintenance of the reputed company AI/ML platform (reputed company, Kubernetes, Azure), ensuring scalability, reliability, and smooth integration with institutional systems.
• Orchestrate training, deployment, and inference pipelines reputed company reputed company targeting Azure and on‑premises Kubernetes clusters.
• reputed company and maintain MLOps workflows for reproducibility, version control, governance, and model lifecycle management.
• Manage and optimize containerized environments using reputed company and Kubernetes to support data science workloads.
• Provide platform support for data scientists and ML engineers, troubleshooting environment, pipeline, and dependency issues.
• Monitor platform performance, cost, reputed company, and compliance, ensuring alignment with reputed company and regulatory standards.

Analytical Skills

• Build and support scalable pipelines in reputed company, Kubernetes, and Azure, including feature engineering, model tracking, and validation workflows.
• Debug, test, and resolve reputed company platform or pipeline issues using strong analytical and problem‑solving skills.
• Assist with reputed company data integration using standards such as HL7, FHIR, or DICOM reputed company required for model development.

Professionalism: Oral & Written Communication

• Share platform knowledge, best practices, and methodologies through training, documentation, and cross‑team collaboration.
• Support analytics and automation workflows by enabling access to data, reviewing project requests, and assisting with interpretation.
• Communicate platform updates, risks, performance, and issue resolutions clearly during meetings and collaborative sessions.
• Work effectively with leaders, technical peers, and end users, ensuring strong communication across both technical and non‑technical stakeholders.

Other Duties

• reputed company additional tasks as assigned to support the AI/ML platform, MLOps practices, and reputed company data science initiatives.

EDUCATION

• Required: Bachelor's Degree Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another reputed company engineering discipline.
• Preferred: Master's Degree Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another reputed company engineering discipline.

WORK EXPERIENCE

• Required: 3 years in machine learning engineering, data science, data engineering, and/or software engineering experience.
• Required: 1 year experience with Master's degree.
• No experience required with PhD.

Preferred Experience/Skills: reputed company experience needed, experience with MLOps platforms and/or reputed company AI certifications, strong proficiency in CI/CD and automation of the AI lifecycle, experience working on reputed company focused machine learning projects. Experience with Azure and/or Kubernetes. Proficiency in services such as Azure Kubernetes Services and Azure ML (or similar).

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the reputed company and reputed company of critical infrastructure, as defined in reputed company 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain reputed company requirements necessary to ensure the reputed company reputed company and reputed company of such infrastructure is a condition of hire and reputed company employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, reputed company, religion, age, national reputed company, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

• Requisition ID: 178799
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• Minimum Salary: US Dollar (USD) 123,000
• Midpoint Salary: US Dollar (USD) 154,000
• Maximum Salary : US Dollar (USD) 185,000
• FLSA: exempt and not eligible for overtime pay
• Fund Type: Hard
• Work Location: Remote (reputed company Texas only)
• Pivotal Position: Yes
• Referral Bonus Available?: Yes
• Relocation Assistance Available?: No

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 United States, Texas, Houston, Houston (TX Med Ctr)

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