Related skills
bigquery docker sql python kubernetes๐ Description
- Build Gen AI apps: design and implement GenAI solutions and RAG pipelines.
- Design and orchestrate multi-step agent pipelines with prompts, APIs, and human-in-the-loop.
- Own ML lifecycle: data prep, feature engineering, fine-tuning, and eval with MLflow.
- Ingest data from BigQuery and lakes; embed and store to vector DBs; enforce governance.
- Docker & Helm on Kubernetes; GPU scheduling, autoscaling, blue-green rollouts, CI/CD.
- Instrument metrics and logs; run A/B/shadow tests; embed security and cost guardrails.
๐ฏ Requirements
- Bachelor's or Master's in CS, Data Science, or equivalent.
- 7+ years building ML/AI apps; 2+ years with LLMs.
- Proven delivery of RAG or agentic systems in production.
- Expert Python and SQL; strong Spark and distributed data-processing.
- Hands-on fine-tuning of foundation models; MLflow, Ray, and vector DBs.
- Production experience with Docker, Kubernetes, Helm, and Git-based CI/CD.
๐ Benefits
- Only open to U.S. Citizens or Green Card holders.
- In-office role in LA - West Hollywood.
- Strong base + bonus; no equity.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest โ finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!