Responsibilities:

Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems.
Own production rollouts of consumer and internally facing GenAI applications.
Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

Requirements:

Experience in 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 in building production-grade machine learning deployments on AWS, Azure, or GCP.
Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience. Passion for collaboration, lifelong learning, and driving business value through AI.
[Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
We require fluency in English and willingness to work across time zones.