Texas Licensed Senior Machine Learning Engineer

Job Summary

Owning the full lifecycle of medical imaging machine learning models, the full-time Texas Licensed Senior Machine Learning Engineer will build, deploy, and operate imaging models that enhance patient care while working remotely within Texas.

Key responsibilities

• Manage the development, deployment, and maintenance of medical imaging ML models, ensuring ongoing performance and reliability
• Collaborate with multidisciplinary teams to translate clinical imaging use cases into deployable AI solutions and participate in governance processes
• Design and execute monitoring strategies to detect and mitigate model degradation due to various factors, ensuring responsible AI practices

Required qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or a related engineering discipline
• Five years of experience in machine learning engineering, data science, data engineering, or software engineering (three years with a Master's degree; one year with a PhD)
• Proficiency in Python and PyTorch for model training and inference
• Experience developing and deploying medical imaging ML models in regulated environments
• Ability to build imaging data pipelines and orchestrate ML workflows using tools like Airflow or Prefect