Evergreen - AI Engineer, AI FDE
Databricks (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 4h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy Large Language Model (LLM) solutions using customer data, including Retrieval-Augmented Generation (RAG) architectures and natural language querying of structured data.
- Build, scale, and optimize customer data science workloads with best-in-class MLOps practices to productionize ML pipelines across various domains.
- Provide technical mentorship, advise on data science architecture and tooling, and collaborate cross-functionally to influence product roadmap and priorities.
Minimum Requirements
- 5+ years of hands-on industry data science experience using tools like pandas, scikit-learn, TensorFlow/PyTorch.
- Experience building Generative AI applications including RAG, agents, text2sql, fine-tuning, and deployment of LLMs with frameworks such as HuggingFace, Langchain, and OpenAI.
- Experience deploying production-grade machine learning solutions on cloud platforms such as AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics) or equivalent practical experience.
Ideal Candidate Profile
- Proven expertise in building and deploying advanced Generative AI and LLM-based solutions at scale in a customer-facing setting.
- Comfortable working collaboratively across engineering, product, and internal SME teams with a focus on applied ML and MLOps in enterprise environments.
- Experience with Databricks and Apache Spark for processing large-scale distributed datasets is a strong plus.