Senior AI Data Science Engineer
Core
Architect data models and build pipelines to process and integrate surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.
Role type
Senior AI Data Science Engineer (Data Infrastructure & Strategy)
Builds
Curated, research-ready datasets for embodied AI in robotic surgery
Domain
Healthcare / Robotic Surgery / Embodied AI
Deliverable
production ML models
Required skills
Python, SQL, distributed data processing, workflow orchestration, multi-modal data pipeline design, data quality frameworks, annotation workflow design
Preferred skills
Computer vision data workflows, ML framework understanding, embedded systems data ingestion, data annotation tooling, ML experiment tracking, cloud data platforms, robotics middleware, synthetic data generation
Technologies
Spark, Airflow, Docker, Kubernetes, MLFlow, DVC, Weights & Biases
Responsibilities
Architect data models and build pipelines for surgical data integration; Drive data collection strategy and assess coverage; Own data quality frameworks including validation and lineage tracking; Drive annotation workflows and quality control; Partner with AI/ML researchers to deliver documented datasets; Build tooling for dataset access and usage; Collaborate with clinical and engineering teams on data signal capture.
Seniority
Senior, hands-on IC