Machine Learning Engineer

Description

RESPONSIBILITIES:
ML Model Deployment & Platform Management
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.
Generative AI & LLM Operations
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.
Automation & CI/CD Pipelines
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.

Requirements

Computer Vision, TensorFlow, Machine Learning, Detection, Artificial Intelligence (AI), Automation, Python

Technology Doesn't Change the World, People Do.

Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.

Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use and Privacy Notice.