Evergreen - AI Engineer, AI FDE
Databricks
Databricks is hiring a Evergreen - AI Engineer, AI FDE in Bengaluru, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.
What the work involves
- The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions
- We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production
- We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams
- We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team
- This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly
- This role can be remote
- Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
- Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains
- Advise data teams on various data science such as architecture, tooling, and best practices
- Present at conferences such as Data+AI Summit
What they are looking for
- Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, LangChain, and OpenAI
- 5+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through ML
- Experience working with Databricks Apache Spark to process large-scale distributed datasets
- Disclaimer: This job posting has been aggregated from external source
Pay and dates
The listed pay is Not Disclosed. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “1 day ago” when captured; that is a relative stamp, not an exact date.
How to apply
Apply on the listing where the employer published this role: Evergreen - AI Engineer, AI FDE at Databricks. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.
This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.