Databricks · AI infrastructure
Evergreen - AI Engineer, AI FDE
- Bengaluru, +1 more: India
AI roleAI EngineerBuilds with LLMs
Still open on Databricks's site · checked just now
- Experience
- 5+ years
- Education
- Master's degreeor equivalent experience
- Posted
What you'll do
As written by Databricks · Read the original
The impact you will have
- 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
- Provide technical mentorship to the larger ML SME community in Databricks
- Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap
Requirements
What we look 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
- [Preferred] Experience working with Databricks & Apache Spark to process large-scale distributed datasets
Skills
Stack
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face Transformers
- LangChain
- Spark
- pandas
- AWS
- Google Cloud
- Azure
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
