Machine Learning Engineer

Job summary

The Machine Learning and Data engineer role 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 within UCSF’s APeX Enabled Research (AER) team.

Qualifications

• through centralized informatics services in the areas of Data,
• Bachelor's degree in Computer Science, Computer Engineering, or related area and / or equivalent experience/training.
• 6 years of experience in positions of increasing responsibility designing, implementing, and maintaining complex AI/ML applications.
• Advanced experience with SQL (e.g., SQLServer, PostgreSQL)
• 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.
• Experience with data analysis and machine learning
• Master’s Degree or PhD in Computer Science, Computer Engineering, or related area and / or equivalent experience / training.
• Epic Clarity Certification
• Cloud Development certifications
• Experience with large language models and other generative AI

Skills

Degrees

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