Senior AI/ML Data Engineer
Core
Architect, build, and maintain scalable batch and streaming data pipelines, convert ML prototypes to production, and enable real-time decisioning for mission-critical applications.
Role type
Senior AI/ML Data Engineer
Builds
Production-grade data pipelines, ML inference workflows, and real-time feature delivery systems
Domain
Data Engineering & Applied AI on GCP
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, dbt, BigQuery, Airflow/Cloud Composer, Pub/Sub, GCP (Cloud Run, GKE, Vertex AI), CI/CD, graph data modeling, model monitoring
Preferred skills
AWS, MLflow, Evidently, semantic search, vector embeddings, LLM orchestration, RAG, Neo4j/Neptune, JavaScript
Technologies
BigQuery, dbt, Airflow, Cloud Composer, Pub/Sub, Cloud Run, GKE, Vertex AI, Neo4j, Neptune, MLflow, Evidently
Responsibilities
Architect and optimize data pipelines for performance and cost; convert notebooks to versioned Python packages; implement real-time inference and streaming feature delivery; build shared libraries and tooling for ML teams; partner with data scientists to operationalize models
Seniority
Senior, hands-on IC with mentorship
