Great American Insurance Group is looking to leverage cutting-edge AI technologies to solve critical business challenges in the insurance industry, driving business value through innovation and practical application of AI.
Requirements
- Expert-level knowledge of Large Language Models and generative AI architectures
- Advanced experience with transformer models, attention mechanisms, and custom model development
- Proven track record in BERT, GPT, and other foundation model implementations
- Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods
- Expert-level RAG system design and Agentic RAG implementation
- Expert proficiency in OpenCV and advanced computer vision techniques
- Leadership experience with Vision Language Models and multi-modal AI systems
Responsibilities
- Architects and leads the design, development, and deployment of sophisticated predictive models for underwriting, pricing, claims, and customer retention
- Serves as technical lead for advanced LLM implementations, including custom transformer architectures, advanced fine-tuning strategies, and novel generative AI applications
- Designs and implements complex RAG and Agentic systems with multi-modal capabilities and advanced reasoning
- Designs and develops evaluation pipelines to assess the quality and effectiveness of Generative AI outputs
- Leads Vision Language Model initiatives and advanced computer vision projects using OpenCV and cutting-edge Vision AI technologies
- Drives innovation by exploring new data sources, advanced modeling techniques, and emerging AI technologies
- Designs and implements enterprise-level data pipelines and automated reporting tools
Other
- 5-6 years of progressive experience in data science and machine learning, with at least 2 years leading complex AI/ML projects and mentoring junior team members.
- Mentors junior data scientists and provides technical guidance on complex modeling projects
- Collaborates with senior leadership and cross-functional teams to translate complex business challenges into scalable AI solutions
- Communicates complex technical concepts and strategic recommendations to C-level executives through compelling presentations
- May have responsibility for performance coaching of staff and participatory role in talent selection and development
