Health Informatics
Full Time
Job Summary
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The machine learning / data engineer will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health.
This role primarily involves managing and optimizing the data and monitoring pipelines of the Health IT Platform for Advanced Computing (HIPAC), a cloud infrastructure that supports the development and deployment of AI / ML tools, including large language models (LLMs) in the EHR.
Specifically, the ML / data engineer will work on implementing new data integrations, enhancing HIPAC’s ETL functionalities, productionizing AI / ML tools developed by UCSF data scientists / researchers, and designing and implementing metrics to continuously monitor AI / ML tools deployed at UCSF Health.
Department Description
The Health Artificial Intelligence (AI) team is part of the larger UCSF Health IT team and supports the development, implementation, and monitoring of artificial intelligence, machine learning, and other analytical tools, improving patient care, clinician experience, and health system operations.
The team’s expertise spans data science, machine learning, software / data engineering, business, nursing informatics, and medical informatics.
Required Qualifications
- Bachelor's degree in a related area and / or equivalent experience / training.
- 2 years of experience designing, implementing, and maintaining complex Artificial Intelligence (AI) / Machine Learning (ML) applications.
- Advanced experience with Python; ability to write clean, efficient, and production-level Python code.
- Advanced experience with SQL (e.g., SQLServer, PostgreSQL).
- Demonstrated experience working with MLOps, DevOps, and CI / CD pipeline toolsets.
- Experience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy / Scipy, PyTorch, etc.
- Experience in developing complex, automated testing.
- Experience with cloud-based architecture in platforms such as AWS, GCP, Azure.
- Demonstrated experience deploying, monitoring, and maintaining AI / ML models and pipelines.
- Advanced experience in database systems, data warehousing solutions, and understanding of ETL pipelines.
- Advanced experience in designing, building, or maintaining data infrastructure for efficient ML model training and inference.
- Demonstrated advanced knowledge of full software development lifecycle.
- Demonstrated effective communication and interpersonal skills.
- Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
- Demonstrated broad problem-solving skills.
- Excellent project leadership and management skills.
Preferred Qualifications
- Master’s degree or PhD in Computer Science, Computer Engineering, or related area and / or equivalent experience / training.
- Epic Clarity or Clinical Data Model.
- Experience with large language models and other generative AI technologies, especially supporting the deployment of GenAI-based tools in a production environment.
- Familiar with data visualization tools (e.g., Tableau).
- Experience with Epic data structures.
About UCSF
At UCSF Health, our mission of innovative patient care, advanced technology and pioneering research is redefining what’s possible for the patients we serve a promise we share with the professionals who make up our team.
Consistently ranked among the top 10 hospitals nationwide by U.S. News & World Report UCSF Health is committed to providing the most rewarding work experience while delivering the best care available anywhere.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence also known as our PRIDE values.
Equal Employment Opportunity
The University of California San Francisco is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
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