Added
12 days ago
Type
Full time
Salary
Salary not provided

Related skills

bigquery docker sql python kubernetes

๐Ÿ“‹ 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.

๐ŸŽฏ 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.

๐ŸŽ Benefits

  • Only open to U.S. Citizens or Green Card holders.
  • In-office role in LA - West Hollywood.
  • Strong base + bonus; no equity.
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