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Robert Half Logo Robert Half · IT - Software Development

Machine Learning Engineer

United States, Los Angeles · Job Posted June 15, 2026
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Job Responsibility

  • ML Model Deployment & Platform Management
  • Generative AI & LLM Operations
  • Automation & CI/CD Pipelines

Requirements

  • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints
  • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments
  • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance
  • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines
  • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research
  • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents
  • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance
  • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications
  • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy
  • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution
  • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles
  • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools
  • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows
  • Computer Vision, TensorFlow, Machine Learning, Detection, Artificial Intelligence (AI), Automation, Python

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
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