Lead Data Scientist at Chubb

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM Engineering, Python, PyTorch, Azure, Fine-tuning, Prompt Engineering, NLP, Kubernetes, Docker, DeepSpeed, Transformers, TRL, PEFT, LoRA, DPO, Distributed Architectures

Industry

Insurance

Description

AI Engineer ABOUT CHUBB: 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 OBJECTIVES: As an AI Engineer, you’ll be working with a global team of AI and machine learning practitioners, software engineers, and 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 develop, deploy, and optimize Large Language Models (LLMs) Key words: Focus on Finetuning, Building LLMS, keywords like PEFT , LORA,DPO,Multi-GPU Finetuning MAJOR RESPONSIBILITIES: * Work closely with team of AI engineers to design, build, and serve LLMs to solve complex business challenges using Azure (CPU & GPU environments) * Researching & implementing state of the art LLM techniques including pre-training, fine-tuning, preference alignment, and deployment while also focusing on prompt engineering and generative AI more broadly * Heavily focusing on developing novel data sets that enable LLMs to perform new tasks as well as tooling/platforming to collect these samples at scale. You will need strong python data fundamentals coupled with a software mindset for making data processing and collection pipelines repeatable, scalable, and high quality. * 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.

Responsibilities

Design, build, and deploy Large Language Models (LLMs) using Azure to solve complex business challenges in the P&C insurance sector. Develop scalable data pipelines and reusable tools to streamline generative AI workflows and preference alignment.