Senior AI/ML Engineer

$190,000 - $250,000/Yr

STARR Insurance Companies - New York, NY

Full-time - Senior

New York, NY

About the position

The Senior AI/ML Engineer at Starr Insurance Companies plays a crucial role in the Data & AI team, focusing on developing innovative data and AI capabilities that enhance the insurance practice and drive profit growth. This position involves leveraging machine learning algorithms and predictive modeling to uncover data patterns and transform them into actionable insights, ultimately improving profitability across various business functions.

Responsibilities

• Design, develop, and deploy AI/ML solutions using best practices in statistics, machine learning, deep learning, and foundational models.
• Identify growth opportunities in underwriting, claims processing, risk assessment, and customer service through AI/ML augmentation.
• Collaborate cross-functionally with business, IT, and Transformation teams to drive scalability and impact of AI/ML solutions.
• Communicate complex AI/ML concepts and findings to business leaders in a clear and concise manner.
• Conduct research and stay up-to-date with the latest advancements in AI/ML to continuously improve AI capabilities.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines.
• 5+ years' experience with data science/machine learning techniques (e.g., logistic regression, decision tree, neural networks) and 2+ years of experience working with LLM.
• Expertise in Python, SQL, and data science packages for structured and unstructured data.
• Experience with developing and industrializing scalable AI solutions from ideation to delivery.
• Expertise in Azure, AWS, or other cloud services using big data solutions.
• Proven ability to understand, cleanse, and integrate massive disparate data sets.

Nice-to-haves

• Ph.D. in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines.
• Natural language processing and natural language understanding expertise.
• Experience leading projects for one or more business units.
• Experience in the insurance industry, particularly in underwriting, claims processing, or risk management.
• Knowledge of actuarial science and insurance-specific data sets.

Benefits

• First class training and development opportunities for all employees.