MD Anderson Cancer Center · 1 day ago
Machine Learning Engineer - Platforms
United States
Full-time
Remote
Mid Level
$123K/yr - $185K/yr
3+ years expMD Anderson Cancer Center is a nationally recognized cancer center seeking a Machine Learning Engineer – Platforms to support the development, reliability, and scalability of their enterprise AI/ML platform. The role focuses on MLOps engineering, platform integration, automation, and lifecycle governance, working closely with data scientists and IT teams to enhance AI deployment in healthcare.
Health CareHealth DiagnosticsHospitalMedical
No H1B
Responsibilities
Support development, administration, and maintenance of the enterprise AI/ML platform (Dataiku, Kubernetes, Azure), ensuring scalability, reliability, and smooth integration with institutional systems
Orchestrate training, deployment, and inference pipelines within Dataiku targeting Azure and on‑premises Kubernetes clusters
Develop and maintain MLOps workflows for reproducibility, version control, governance, and model lifecycle management
Manage and optimize containerized environments using Docker 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, security, and compliance, ensuring alignment with enterprise and regulatory standards
Build and support scalable pipelines in Dataiku, Kubernetes, and Azure, including feature engineering, model tracking, and validation workflows
Debug, test, and resolve complex platform or pipeline issues using strong analytical and problem‑solving skills
Assist with healthcare data integration using standards such as HL7, FHIR, or DICOM when required for model development
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
Perform additional tasks as assigned to support the AI/ML platform, MLOps practices, and enterprise data science initiatives
Qualification
Required
Bachelor's Degree Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another related engineering discipline
3 years in machine learning engineering, data science, data engineering, and/or software engineering experience
1 year experience with Master's degree
Preferred
Master's Degree Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another related engineering discipline
Healthcare experience needed
Experience with MLOps platforms and/or cloud AI certifications
Strong proficiency in CI/CD and automation of the AI lifecycle
Experience working on healthcare focused machine learning projects
Experience with Azure and/or Kubernetes
Proficiency in services such as Azure Kubernetes Services and Azure ML (or similar)
Benefits
Paid medical benefits
Paid time off (PTO)
Strong retirement plans
Comprehensive benefits package
Tuition benefits
Educational opportunities
Individual and team recognition
Company
MD Anderson Cancer Center
MD Anderson Cancer Center is a cancer treatment and research institution which gives treatment, and research of all types of cancer.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$16.2MKey Investors
Break Through CancerGastro-Intestinal Research Foundation
2023-05-16Grant· $2.7M
2023-01-24Grant· $3.5M
2022-04-19Grant· $10M
Leadership Team
D
David Tweardy
Professor
Recent News
2026-01-19
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