Databricks
About this role
Databricks builds the data and AI platform used by a large share of enterprise data teams, and the AI Forward Deployed Engineering team is its specialist customer facing AI group. The work is professional services with a research edge: you build and productionise first of a kind generative AI applications alongside customers, own production rollouts of GenAI applications, and act as trusted technical advisor across a range of domains. The team works with engineering, product and developer relations to shape strategic priorities, and members are expected to present at conferences such as the Data and AI Summit. The stack is GenAI application work covering RAG, multi agent systems, Text2SQL and fine tuning with tools such as HuggingFace, LangChain and DSPy, on top of standard data science tooling including pandas, scikit learn and PyTorch. The posting states this role can be remote.
Who this is for
What the posting asks for: a minimum of 5 or more years of relevant experience as a Data Scientist, preferably in a consulting role. Alongside that Databricks asks for experience building GenAI applications including RAG, multi agent systems, Text2SQL and fine tuning with tools such as HuggingFace, LangChain and DSPy, expertise deploying production grade GenAI applications including evaluation and optimisation, extensive hands on industry data science experience with common tooling such as pandas, scikit learn and PyTorch, experience building production grade machine learning deployments on AWS, Azure or GCP, a graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics or Operations Research or equivalent practical experience, and the ability to explain technical concepts to both technical and non technical audiences.
Preferred, not required: experience using the Databricks Intelligence Platform and Apache Spark to process large scale distributed datasets.
The real day to day: developing GenAI solutions that incorporate techniques from Databricks' own Mosaic AI research to solve customer problems. Owning production rollouts of both consumer facing and internal GenAI applications. Serving as a trusted technical advisor to customers across a variety of domains. Presenting at conferences such as the Data and AI Summit and being recognised as a thought leader internally and externally. Collaborating with product and engineering teams to influence priorities and shape the roadmap.
Location and setup: the posting states the role can be remote, and the listing specifies India.
Honest fit guidance: this is a customer facing professional services role, so a real share of your week goes to customer meetings, discovery and advisory work rather than heads down building. Databricks describes the team as an ensemble that looks for individuals with strong unique specialisations, which suggests depth in one area matters more than breadth. The graduate degree requirement is stated, though Databricks allows equivalent practical experience, so do not self reject on that alone if your production GenAI record is strong. The conference speaking expectation is unusual and worth taking at face value: visibility is part of the job.
Preferred, not required: experience using the Databricks Intelligence Platform and Apache Spark to process large scale distributed datasets.
The real day to day: developing GenAI solutions that incorporate techniques from Databricks' own Mosaic AI research to solve customer problems. Owning production rollouts of both consumer facing and internal GenAI applications. Serving as a trusted technical advisor to customers across a variety of domains. Presenting at conferences such as the Data and AI Summit and being recognised as a thought leader internally and externally. Collaborating with product and engineering teams to influence priorities and shape the roadmap.
Location and setup: the posting states the role can be remote, and the listing specifies India.
Honest fit guidance: this is a customer facing professional services role, so a real share of your week goes to customer meetings, discovery and advisory work rather than heads down building. Databricks describes the team as an ensemble that looks for individuals with strong unique specialisations, which suggests depth in one area matters more than breadth. The graduate degree requirement is stated, though Databricks allows equivalent practical experience, so do not self reject on that alone if your production GenAI record is strong. The conference speaking expectation is unusual and worth taking at face value: visibility is part of the job.
Apply on company site
Opens databricks.com, the employer's own application page. Applying is always free.