MLOps Engineer: Healthcare AI in Production

utaustin; Austin (TX); On-site; USD 81,000 - 99,000; Full time

Job summary

Dell Medical School in Austin, TX seeks an AI Engineer II to support ML model deployment, monitoring, and governance in production. The role emphasizes building scalable MLOps infrastructure within a healthcare setting.

Reporting to the Director of Data Intelligence and Decision Science, you will collaborate with data scientists, software engineers, and DevOps to automate retraining, deployment, and security controls.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
• Minimum 2 years of relevant experience.
• Experience and knowledge may be substituted as appropriate.

Responsibilities

• Develops ML deployment pipelines and governance.
• Implements lifecycle governance standards for versioning.
• Optimizes workflows for scalability and reliability.
• Implements monitoring systems for drift and performance.
• Collaborates with data scientists, software engineers, and DevOps.
• Automates retraining and deployment processes.
• Implements data governance and security protocols.
• Configures cloud infrastructure for ML workloads.
• Contributes to technical documentation and knowledge sharing.
• Assists with proof-of-concept evaluations and post-mortems.

Skills

ML programming

ML lifecycle

CI/CD pipelines

Cloud infrastructure

Container orchestration

Problem solving

Cross-functional collaboration

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Minimum 2 years of relevant experience

Tools

CI/CD tools

Kubernetes

Docker

Job description

Dell Medical School in Austin, TX seeks an AI Engineer II to support ML model deployment, monitoring, and governance in production. The role emphasizes building scalable MLOps infrastructure within a healthcare setting.

Reporting to the Director of Data Intelligence and Decision Science, you will collaborate with data scientists, software engineers, and DevOps to automate retraining, deployment, and security controls.