AI Engineer

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

KEY OBJECTIVE:

As an AI Engineer, you’ll be working with a global team of data scientists, full stack developers, business, and solution architects to implement state of the art – AI enabled digital solutions to transform the P&C insurance globally. This position offers the opportunity to work with Large Language Models (LLMs) in delivering high quality AI products.

MAJOR RESPONSIBILITIES:

• Work closely with team of AI engineers & data scientists to design, build, and test machine learning models to solve complex business challenges on Azure & Databricks platforms (CPU & GPU environments)
• Researching & implementing state of the art LLM techniques including pre-training, fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and generative AI more broadly
• Ensure high quality code that meets business objectives, quality standards and development guidelines.
• Building reusable pipelines, processes, and tools to streamline LLM and generative AI workflows
• Manage project stakeholder expectations and issue communications on progress.
• React to shifting priorities without compromising deadlines and momentum.

QUALIFICATIONS:

• 2 – 5 years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
• Strong knowledge of ML frameworks and libraries (such as Transformers and PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale.
• Experience on distributed, high throughput and low latency architecture
• Strong fundamentals in NLP techniques for text representation, semantic extraction techniques, data structures and modeling.
• Experience building software on top of major container technology (Kubernetes, Docker etc.)
• Understanding the development lifecycle for LLMs— developing data sets for pre-training, instruction and chat tuning, and preference alignment alongside the modelling techniques for each stage and LLM deployment is a MAJOR asset.
• Experience defining system architectures and exploring technical feasibility tradeoffs is considered an huge asset,
• Familiarity with end-to-end application development using full stack is considered an asset.
• Experience in P&C insurance is considered an asset.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.