DataBricks & AI platform Architect

Strong hands-on experience in Databricks platform setup and architecture (mandatory). Expertise in the Databricks AI Stack: MLflow AutoML Feature Store Model Serving Vector Search RAG Architectures Embeddings Strong experience with PySpark, Delta Lake, and Spark performance optimization. Experience with cloud ecosystems: Azure Databricks and related Azure services GCP Databricks, BigQuery, GCS, and Vertex AI Hands-on experience integrating LLMs and Generative AI solutions. Knowledge of Unity Catalog, governance, data security, and access management. Ideal candidate: A Databricks AI/ML Engineer or Architect with strong platform architecture, big data engineering, and Generative AI implementation experience. Knowledge of Unity Catalog, data governance, security, and access management. Hands-on experience integrating LLMs and Generative AI solutions. Cloud experience with Azure Databricks and/or GCP (BigQuery, GCS, Vertex AI). Strong skills in PySpark, Delta Lake, and Spark performance optimization. Expertise in the Databricks AI stack: MLflow, AutoML, Feature Store, Model Serving, Vector Search, RAG, and embeddings. Strong hands-on Databricks platform setup and architecture experience (mandatory).