Azure Databricks MLOps Expert Support

I’m kicking off a 3–6-month enterprise AI initiative on Azure and need an expert who can take charge of everything Databricks-related. The immediate focus is data processing and ML workflows: you’ll stand up and tune clusters, build out end-to-end ETL pipelines, and craft scalable, repeatable machine-learning jobs that flow smoothly into production.

Beyond the build, I rely on you to keep the lights on. Our platform runs 24/7, so swift, senior-level ticket resolution is critical—whether it’s a misbehaving notebook, a flaky job, or a performance bottleneck inside a Spark cluster. You should be perfectly comfortable navigating Azure services, AKS/Kubernetes, Docker, and Python/PySpark, bringing best-practice CI/CD and full MLOps rigor to the table.

Key deliverables
• Cluster setup and performance tuning in Azure Databricks
• Production-ready ML workflows with versioned models, automated tests, and monitoring hooks
• Robust data-integration/ETL pipelines feeding the lakehouse
• Expert-level troubleshooting with documented fixes for each resolved ticket

If you’ve also worked with Generative AI, RAG, or LLMs, let me know—that’s a bonus. Share links or short write-ups of comparable projects you’ve handled, and tell me how soon you can start.