Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Statistics, or related quantitative field required. Master’s or PhD in related field strongly preferred
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
Advanced Generative AI & LLM Leadership: 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 (inferred from description)
Responsibilities
Leads the analysis of large, complex datasets to identify advanced trends, patterns, and strategic opportunities
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
Mentors junior data scientists and provides technical guidance on complex modeling projects
Drives innovation by exploring new data sources, advanced modeling techniques, and emerging AI technologies
Collaborates with senior leadership and cross-functional teams to translate complex business challenges into scalable AI solutions
Designs and implements enterprise-level data pipelines and automated reporting tools
Establishes model governance frameworks and ensures compliance with regulatory requirements
Communicates complex technical concepts and strategic recommendations to C-level executives through compelling presentations
Monitors and optimizes model performance across the enterprise and ensures data quality at scale
May have responsibility for performance coaching of staff and participatory role in talent selection and development
Drives AI strategy and roadmap development for the Predictive Analysis team