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Job Overview

Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.

Key points

  1. Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems.

  2. Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost.

  3. Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents…

  4. Collaborate with internal teams to influence roadmap, product improvements and support business growth.

  5. Experience with cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus.

  6. Proficient in data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark.

  7. SME knowledge in feature engineering, ML frameworks, model training, model monitoring, drift detection, and retraining strategies. Proficient in working with algorithms and deep learning…

  8. Prior experience building, designing or troubleshooting LLM-based Generative AI applications. Familiarity with agentic frameworks (e.g., LangChain, LangGraph etc). Expertise in context orchestration…

Skills

DatabricksMachine LearningGenerative AILLMsTroubleshootingRAGCustomer SupportPython

Experience: Senior-level · 8+ years

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