Associate Manager, Production AI/ML Engineering, Advanced Informatics
Core
Architect and scale the computational ecosystem powering AI/ML applications, transforming population-scale clinical and claims data into production-grade model inference.
Role type
Senior IC Machine Learning Infrastructure Engineer (MLOps)
Builds
Scalable AWS/Kubernetes ecosystem for model training, batch inference, and real-time serving
Domain
Life Sciences / Healthcare Informatics
Deliverable
production ML models
Required skills
AWS (SageMaker, ECS, EC2, S3, Lambda), Kubernetes, RESTful API design, Postgres, Python, SQL, MLOps tooling (MLflow, W&B, Docker, Airflow, Prefect), CI/CD, Git
Preferred skills
Health/life sciences data experience (EHR/EMR, claims, clinical notes), Master's degree in CS/SE/Data Science/Biomedical Informatics
Technologies
AWS, Kubernetes, Postgres, Python, SQL, MLflow, W&B, Docker, Airflow, Prefect, SageMaker, ECS, EC2, S3, Lambda, SNOMED CT, ICD-10/11, LOINC, RxNorm, OMOP CDM
Responsibilities
Architect and maintain scalable ML infrastructure; design and maintain production-grade ML pipelines; develop RESTful APIs for model inference; operationalize models (deployment, versioning, rollback, A/B testing); build MLOps infrastructure; own monitoring and incident response; partner on data governance and compliance; shape capacity planning and technical roadmap
Seniority
Senior, hands-on IC