Mass General Brigham needs to maintain and enhance its cloud-scale ML platform to integrate ML models with clinical workflows, particularly within Epic EHR systems, and implement best practices in ML Ops for reliability, scalability, and reproducibility.
Requirements
- Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.
- Data warehousing development in large reporting environment(s) 2-3 years required
- Experience with developing data pipelines using on Snowflake features ( Snowpipe, SnowSQL, Snow Sight, Data Streams ) required
- Hands-on development experience with ETL/ELT tools, such as dbt, Fivetran, or Informatica required
- Experience working in Agile software development environment required
- Familiarity with enterprise data warehousing systems a plus.
- Experience with ML Ops/DevOps practices is beneficial
Responsibilities
- Maintain and continuously develop our ML platform, ensuring reliable operation and scalability.
- Integrate ML models seamlessly into clinical workflows, with a particular focus on integration within Epic EHR systems.
- Implement and manage ML Ops best practices, including model deployment, monitoring, version control, and reproducibility.
- Facilitate the deployment, scaling, and management of dockerized pipeline containers
- Lead the development and improvement of user interfaces (ReactJS)
- Expand the ML platform’s capabilities, including support for Large Language Models (LLMs).
- Perform SQL-based data queries for efficient ingestion, extraction, and preparation of datasets.
Other
- motivated, responsible, and self-directed
- enthusiasm, ownership, and eagerness to learn.
- Hybrid
- Bachelor's Degree Computer Science required or Bachelor's Degree Related Field of Study required
- Can this role accept experience in lieu of a degree? Yes
