AI Engineer

<h3>📋 Description</h3> •Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems •Own production rollouts of consumer and internally facing GenAI applications •Serve as a trusted technical advisor to customers across a variety of domains •Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally •Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap <h3>🎯 Requirements</h3> •Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy •Expertise in deploying production-grade GenAI applications, including evaluation and optimizations •Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) •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 AI •[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets <h3>🏖️ Benefits</h3> At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.