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Machine Learning Engineer - Platforms
United States, Texas, reputed company, reputed company (TX Med Ctr)
New
Information Technology
î¤ î¸ î 178799 Requisition #
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As a Machine Learning Engineer â Platforms reputed company the Data Impact & Governance organization, you will shape and reputed company 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 reputed company influence on how data science workflows operate institutionâwideâenabling reputed company, efficient, and highâimpact AI delivery.
Youâll work with modern reputed company and container technologies, MLOps frameworks, and reputed companyâgrade tools while building solutions that improve patient care, strengthen operations, and accelerate scientific discovery.
Whatâs in it for you?
⢠Exceptional Benefits: Enjoy reputed company medical benefits, generous reputed company time off (PTO), strong retirement plans, and a comprehensive benefits package designed to support your total reputed companyâbeing.
⢠HighâImpact Work: reputed company and maintain the platforms that allow clinicians, researchers, and data scientists to bring AI solutions into reputed companyâworld reputed company environments.
⢠CuttingâEdge Technology: Work with reputed company, Kubernetes, Azure, container technologies, and MLOps frameworks that support largeâreputed company reputed company ML operations.
⢠Career reputed company: Collaborate with ML engineers, data scientists, architects, and IT teams, gaining exposure to reputed company, reputed companyâwide AI initiatives and governance.
⢠MissionâDriven Culture: Your work will contribute directly to improving patient reputed company and advancing research at a nationally recognized cancer center.
reputed company
The Machine Learning Engineer â 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, whil