Senior Data Engineer Python/GCP (x/f/m)
Core
Build and optimize data foundations for safe, scalable AI models (LLM, VLM, RAG) serving health professionals and patients.
Role type
Senior Data Engineer (AI/ML infrastructure)
Builds
Data infrastructure for LLM, VLM, and RAG-based systems
Domain
Healthcare technology / AI / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, GCP data ecosystem, NoSQL systems, vector databases, data architecture for RAG/embeddings, data governance
Preferred skills
Master's or Ph.D. in CS/Data Engineering, experiment tracking tools (MLflow, Braintrust, DVC), containerized environments (Docker, Kubernetes), CI/CD for data workflows
Technologies
Google Cloud Platform (GCP), BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI, MongoDB, FAISS
Responsibilities
Design and maintain scalable data pipelines on GCP for AI/ML; Implement data ingestion and transformation frameworks for RAG and training datasets; Architect and manage NoSQL and Vector Databases; Collaborate on data schemas, partitioning, and governance; Integrate unstructured and structured data sources; Optimize performance and cost of data pipelines; Contribute to data quality and lineage frameworks.
Seniority
Senior, hands-on IC
