Are you a charismatic data science Developer Advocate at heart, someone who excels in the spotlight, loves presenting and hosting events, and possesses a deep knowledge of machine learning, data science, AI, and the Databricks Data Intelligence Platform? As a Machine Learning Developer Advocate, you'll share your expertise in agents, AI, GenAI, MLOps, and LLMOps and be a conduit between the engineering teams and the developer community of data scientists and AI engineers building their careers on technologies including (but not limited to) pandas, scikit-learn, PyTorch, DSPy, MLflow, LangChain, LlamaIndex, and Databricks. You'll share your knowledge of best practices for developing and productionizing AI and machine learning by giving talks, hosting panels and meetups, blogging, answering forum questions, and meeting 1:1 with influential data scientists and AI engineers in the Databricks community. You'll work closely with the community and Mosaic AI product and engineering teams. This role will leverage your strong expertise in Databricks Mosaic AI to educate, inspire, and support our growing user base. Your responsibilities will encompass a wide range of knowledge-sharing activities. You'll deliver engaging talks, host insightful panels and meetups, create informative blogs and video content, develop comprehensive courseware, provide expert answers in community forums, and conduct one-on-one sessions with influential data engineers and scientists. These efforts will help disseminate best practices and foster a thriving Databricks community. Community engagement will be at the heart of your role. You'll work closely with the Databricks community and the product and engineering teams, ensuring that user needs and product development align seamlessly. Reporting directly to the Head of Developer Relations, you'll collaborate with fellow developer advocates and program managers to create and execute a cohesive and impactful developer relations strategy.