Sr. Machine Learning Ops Engineer (Director)

📋 Description

• ML Model Deployment & Platform Management on Databricks including MLflow for experiment tracking, model registry, and serving endpoints.
• Lead design, implementation, and maintenance of scalable ML infrastructure and automated deployment pipelines in production.
• Robust model versioning, retraining, and artifact management using Databricks Unity Catalog for governance.
• Design and manage Databricks Feature Store for consistent feature engineering across training and inference.
• Generative AI & LLM Operations: architect RAG systems for document Q&A and retrieval across enterprise docs.
• Deploy and manage vector databases (Databricks Vector Search, Pinecone) for semantic search.

🎯 Requirements

• Bachelor's or Master's in Computer Science, Engineering, Information Systems, or related field.
• 7+ years of ML Ops/ML engineering with production deployments.
• Expert Python; strong Bash scripting.
• Cloud: Azure (required) or GCP.
• Docker and Kubernetes for ML workloads; strong CI/CD experience (GitHub Actions/Jenkins/GitLab/Azure DevOps).
• Strong SQL and practical Databricks platform experience; familiarity with orchestration (Airflow/Prefect/Databricks Workflows) and monitoring (Prometheus, Grafana).

🎁 Benefits

• Medical, dental, and vision plans.
• Health Savings Account with employer contribution.
• Company paid life and disability insurance.
• 401(k) with company match.
• PTO, holidays, sick time, and bereavement leave.
• Paid parental leave and volunteer time off.