Role overview
Job Description
Summary
We are searching for a skilled GenAI Engineer to build generative AI solutions on Azure Databricks . Candidates should have experience in software engineering, data science, or machine learning, and be skilled with Mosaic AI, MLFlow and rest of the Databricks ecosystem such as Genie, Databricks One, and Unity Catalog (UC) Business semantics.
As part of our team, you will have the opportunity to collaborate with industry experts, contribute to innovative projects, and play a key role in shaping next-generation GenAI solutions within a dynamic and supportive environment. We value curiosity, adaptability, and a passion for leveraging cutting-edge technologies to address real-world challenges. If you thrive on solving complex problems and are eager to make a tangible impact in the rapidly evolving field of generative AI, we encourage you to apply and join us on this exciting journey.
Key requirements
Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
Evangelise and evolve best practices for our clients and our team including to mentor your colleagues, supporting their personal development
Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications
Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors
Qualification
- Proven experience with Databricks, including Unity Catalog, MLflow, Mosaic AI and Delta Live Tables.
- Strong understanding of Generative AI concepts, including LLMs, RAG, embeddings, and prompt tuning.
- Experience with vector databases and embedding models.
- Familiarity with cloud platforms (Azure preferred) and CI/CD pipelines.
- Excellent problem-solving and communication skills.