Senior ML and AI Technical Solutions Engineer at Databricks (Bengaluru)
Job Description
Databricks is hiring a Senior ML and AI Technical Solutions Engineer in Bengaluru to help customers debug and keep stable their machine learning and generative AI workloads, including AI agent systems, on the Databricks platform, while building deep product expertise.
At a glance
- Role: Senior ML & AI Technical Solutions Engineer
- Where: Bengaluru, India
- Experience: 8+ years designing, building and scaling data, ML and AI systems
- Languages: Python, Scala and Java in production
- Apply: open until filled (re-checked 11 October 2026)
About the ML and AI solutions engineer role
- Be the senior technical expert on complex issues across data pipelines, ML pipelines and AI applications, using deep knowledge of distributed systems
- Analyse production workloads at code level and optimise them for performance, reliability, latency and cost
- Diagnose and support ML and large language model deployments, including real-time and batch inference, autoscaling, monitoring and logging
- Guide customers using Databricks AI for generative AI use cases, including LLMs, MCP and AI agents
- Work with internal teams to influence the roadmap and product improvements
- Share expertise through wikis, documentation and teaching
What Databricks is looking for
- 8+ years designing, building and scaling data, ML and AI systems on-premises and in the cloud with Python, Scala and Java, with ML and/or generative AI expertise
- Experience with AWS, Azure or GCP
- Expert knowledge of feature engineering, ML frameworks, training, monitoring, drift detection and retraining
- Experience building or troubleshooting LLM applications, and familiarity with agent frameworks such as LangChain or LangGraph
- Strong MLOps and LLMOps, including evaluation, optimisation, validation and packaging
- A bachelor’s or master’s degree in computer science, engineering or a related field, or equivalent experience
Nice to have
- Developing agent skills and plugins
- Previous roles as a data scientist, ML engineer or AI engineer
- Professional certifications; customer-facing experience is not required, but a desire to develop it is
Pay and location
Databricks’ posting does not state pay for this India role. Details of regional benefits are linked from the posting. The role is based in Bengaluru.
How to apply
Apply through the official Databricks job posting. Databricks’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 11 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Databricks
Official advertisement: databricks.com
How to prepare for this application
- Debugging drills: practise diagnosing a slow Spark job, an out-of-memory error and a model-serving latency spike, and explain your steps aloud.
- LLMOps: know how you would monitor quality, cost and drift for an LLM application in production.
- Agent protocols: learn the basics of the Model Context Protocol (MCP) and how agents call tools.
- Written clarity: support roles reward clear write-ups; bring an example of documentation you wrote.
- Customer empathy: prepare a story of calming a stressed stakeholder during an outage.
About Databricks
Databricks describes itself as the Data and AI company. More than 20,000 organisations worldwide, including adidas, AT&T, Mastercard and about 70% of the Fortune 500, use the Databricks Data + AI Platform to build and scale data and AI applications, analytics and agents. The company is headquartered in San Francisco and hires engineers and customer-facing technical staff in India.
