Chubb - Philadelphia, PA

posted about 2 months ago

Full-time - Mid Level
Philadelphia, PA
Insurance Carriers and Related Activities

About the position

Chubb is seeking an AI Engineer to join its North America Data Analytics team. This role focuses on developing generative AI solutions to address complex business problems, enhancing key performance metrics, and collaborating with various stakeholders. The position involves building pipelines, designing architecture, and implementing machine learning models on the Azure platform, while ensuring high-quality code and effective communication with business partners.

Responsibilities

  • Collaborate with business partners and peers to understand and scope problems, gather business requirements, and facilitate data integration.
  • Work closely with a team of data scientists to implement and test machine learning models on the Azure platform.
  • Research and implement state-of-the-art modeling approaches including zero-shot/few-shot learning and embedding techniques.
  • Ensure high-quality code that meets business objectives and secure web development guidelines.
  • Integrate with data/document sources using APIs and/or data pipelines.
  • Create excellent working relationships with business partners across the Chubb organization, IT, and Analytics peer groups.
  • Effectively communicate with key stakeholders in written, oral, and presentation formats.

Requirements

  • 4 years of industry experience in AI or data analytics.
  • Experience with machine learning models and data integration processes.
  • Proficiency in programming languages relevant to AI and data analytics.
  • Familiarity with Azure platform for implementing AI solutions.

Nice-to-haves

  • Experience with generative AI technologies.
  • Knowledge of data pipeline architecture and design.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Benefits

  • Comprehensive health insurance coverage.
  • 401k retirement savings plan with company matching.
  • Paid time off and holidays.
  • Professional development opportunities.
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