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Research ML Ops Software Engineer (Knoxville)

Research ML Ops Software Engineer (Knoxville)

Siemens HealthineersKnoxville, TN, United States
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Research ML Ops Software Engineer

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

As a Research ML Ops Software Engineer, you will build and maintain infrastructure to support the end-to-end lifecycle of machine learning experiments from data ingestion and training to deployment, monitoring, and compliance. You will collaborate with research scientists, data engineers, and software developers to ensure reproducibility, scalability, and regulatory traceability across AI workflows for medical devices. Apply now for the position of Research ML Ops Software Engineer to join our research team focused on developing and deploying cutting-edge machine learning models.

You are responsible for :

  • Designing and implementing scalable, reproducible ML pipelines for research workflows.
  • Automating data versioning, model tracking, and artifact management.
  • Containerizing training and inference environments.
  • Integrating model lineage tracking with research databases.
  • Collaborating with data scientists to transition research code into production-ready workflows.
  • Ensuring infrastructure supports compliance, audit logging, and regulatory reporting (e.g., 21 CFR Part 11).
  • Supporting Continuous Integration (CI) / Continuous Deployment (CD) workflows for experiments and reproducible reporting.
  • Developing monitoring tools for model drift, data quality, and performance metrics.
  • Collaborating across teams to promote best practices in experiment reproducibility, documentation, and governance.

Minimum Qualifications :

  • Bachelor's or M.S. in Computer Science, Software Engineering or related field.
  • Minimum of 3 years of experience (advanced degree may be substituted for experience, where applicable) in MLOps, DevOps or data engineering roles.
  • Experience with cloud platforms and local / on-prem computer clusters.
  • Programming skills in C / C++ and at least one other language (preferably Python), and knowledge of industrial approaches of software development.
  • Familiarity with medical imaging would be beneficial (SPECT, PET, CT, DICOM, coordinate systems, image registration, etc.).
  • Familiarity with deep learning libraries.
  • Knowledge of regulatory requirements for AI medical devices will be beneficial.
  • Familiarity with different types of databases.
  • At this time, we are only considering candidates who are authorized to work in the United States without the need for current or future visa sponsorship.

    Who we are : We are a team of more than 73,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

    How we work : When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and / or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose : to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

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    Software Engineer • Knoxville, TN, United States

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