A fast-growing Series B AI startup is looking for a Databricks ML Engineer to own their end-to-end machine learning platform, from feature engineering through to production model serving.

You will build and maintain MLflow experiment tracking, manage the Databricks Feature Store, and lead LLMOps practices for a suite of large language model applications.

• 3+ years in ML engineering or MLOps roles
• Deep experience with MLflow (tracking, model registry, serving)
• Hands-on LLMOps: fine-tuning, evaluation, and deployment of LLMs
• Databricks Feature Store and Model Serving experience
• Python proficiency; familiarity with PyTorch or Hugging Face