What we look for:

• Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI
• 4 to 8 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch
• Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience in communicating and teaching technical concepts to both non-technical and technical audiences
• Passion for collaboration, life-long learning, and driving business value through ML
• [Preferred] Experience working with Databricks and Apache Spark™