Databricks Jobs

Can you please explain your experience in databricks platform, end to end deployment, monitoring, ml lifecycle management, experimentation, model provisioning, model serving, alerting monitoring, retraining, data drift, model drift, vm design for databricks workspace, databricks optimization and performance techniques, canary deployment on databricks, databricks genie, agentbricks, multi-agent orchestration, long running agent management, episodic, procedural, semantic memory, evaluation, observability, tracing , humna in the loop, unity catalog, databricks lakehosue, databricks api gateway, databricks security, databricks governance and authentication, we need to build databricks native solution completely on databricks utilizing all databricks features, capabilities, architures and reso...

**Job Title:** Databricks Engineer Needed — End-to-End AI Sales Analytics Platform (Genie, Unity Catalog, MLflow) --- **Job Description:** We need an experienced Databricks engineer to take a complete technical specification (attached) and implement it end-to-end — from raw data ingestion through to a fully deployed, tested, and monitored production application. This is not a partial build or a prototype: we're looking for someone to execute the entire attached implementation plan, section by section, exactly as specified, and deliver a working system. **About the project:** We're building a natural-language Q&A tool for our sales team. It lets users ask plain-English questions about sales pipeline, quota attainment, and rep performance, and get back governed,...

I need a content recommender system on Databricks using Neo4j. The system should recommend entertainment content, such as articles, videos, or music. Key Requirements: - Utilize user behavior data and content metadata - Build on Databricks and integrate with Neo4j Ideal Skills: - Experience with Databricks and Neo4j - Strong background in building recommender systems - Proficiency in handling and analyzing user behavior data and content metadata Looking for an expert to help create a robust and efficient content recommendation engine.