The company is looking to solve complex business problems in the insurance space by applying AI and ML solutions.
Requirements
- 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
Responsibilities
- 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.
- 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.
Other
- Bachelor’s Degree or higher in machine learning, computer science, mathematics, statistics, or similar quantitative field
- 5+ years of relevant model development and deployment experience, preferably within the insurance industry
- Exceptional problem-solving skills with the ability to think strategically
- Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.
- Strong communication skills
- Ability to quickly and efficiently adapt to new concepts and changing project scopes
- Ability to thrive in a remote team environment.
- Must be legally authorized to work in the United States.
