Description We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance.

Responsibilities:
• Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use.
• Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management.
• Establish disciplined processes for model version control, retraining, and artifact governance using tools...