Senior Gen AI/ML Engineer

5+ years of relevant model development and deployment experience, preferably within the insurance industry Proven experience in prompt engineering, LLM fine-tuning, and LLM evaluation Experience working with RAG architecture, including embedding models, retrieval mechanisms, and integration with LLMs Proven experience building and deploying machine learning models Experience building & deploying models with AWS tools (Bedrock, Sagemaker, Comprehend, S3, etc.) is preferred Proficiency in writing production-quality, scalable code using Python; experience with scikit-learn, PyTorch, TensorFlow, huggingface, Keras, etc. Strong working knowledge of MLFlow, Docker, Git, and SQL Experience in creating and integrating APIs for model deployment

Utilize expertise in generative AI technologies to develop innovative solutions for underwriting, risk assessment, claims processing, and customer engagement. Think big about the arc of development of generative AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems Work closely with engineering and devops teams to ensure seamless integration, deployment, and scalability of machine learning models within the existing infrastructure. Keep abreast of the latest developments in AI and machine learning, particularly in generative models, to inform strategy and implementation. Build, deploy, maintain, and optimize machine learning models Adhere to best practices for model validation, testing, and monitoring to ensure performance and reliability Provide guidance and mentorship to junior data scientists, fostering a culture of learning and professional growth within the data science team. Effectively communicate complex analytical findings to both technical and non-technical audiences through reports, presentations, and visualizations. Proactively identify areas for improvement in existing models and processes, advocating for and implementing enhancements.