Chubb•1h ago
LinkedIn
AI/ML Engineer
Bengaluru, Karnataka, India
Mid Level
Full Job Description
About the job
About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, we provide commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to diverse clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, and local operations globally.
At Chubb India, we are on an exciting journey of digital transformation driven by engineering excellence and analytics. We have been certified as a Great Place to Work® for the third consecutive year, reflecting a culture that fosters innovation, collaboration, and growth. With a team of over 2,500 professionals, we encourage a start-up mindset, diverse perspectives, and a solution-driven attitude. We focus on building expertise in engineering, analytics, and automation to solve real-world challenges in the insurance industry.
Role Overview:
As an AI Engineer, you’ll work with a global team of AI and ML practitioners, software engineers, and business and solution architects to implement state-of-the-art AI-enabled digital solutions for property and casualty (P&C) insurance globally. This position involves developing, deploying, and optimizing Large Language Models (LLMs).
MAJOR RESPONSIBILITIES:
Work closely with a team of AI engineers to design, build, and serve LLMs to solve complex business challenges using Azure (CPU & GPU environments).
Researching and implementing state-of-the-art LLM techniques including pre-training, fine-tuning, preference alignment, and deployment, with a focus on prompt engineering and generative AI.
Developing novel datasets to enable LLMs to perform new tasks and tooling/platforming to collect these samples at scale. Requires strong Python data fundamentals and a software mindset for creating repeatable, scalable, and high-quality data processing and collection pipelines.
Ensuring 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.
Managing project stakeholder expectations and issue communications on progress.
Reacting to shifting priorities without compromising deadlines and momentum.
QUALIFICATIONS:
Must have 3 - 6 + years’ experience in AI/ML.
Experience in LLM Engineering—pretraining, post-training/alignment.
Deep expertise in writing and reviewing production code in Python.
Understanding the development lifecycle for LLMs—developing datasets for pre-training, instruction tuning, and preference alignment alongside modeling techniques for each stage and LLM deployment.
Multi-disciplinary approach to problem-solving, including excellent interpersonal and communication skills (written and verbal).
Crisply discussing technical solutions while collaborating with business architects.
Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale.
Experience on distributed, high-throughput, and low-latency architectures.
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.).
Nice to have:
Experience defining system architectures and exploring technical feasibility tradeoffs.
Familiarity with end-to-end application development using full-stack.
Experience in P&C insurance.
About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, we provide commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to diverse clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, and local operations globally.
At Chubb India, we are on an exciting journey of digital transformation driven by engineering excellence and analytics. We have been certified as a Great Place to Work® for the third consecutive year, reflecting a culture that fosters innovation, collaboration, and growth. With a team of over 2,500 professionals, we encourage a start-up mindset, diverse perspectives, and a solution-driven attitude. We focus on building expertise in engineering, analytics, and automation to solve real-world challenges in the insurance industry.
Role Overview:
As an AI Engineer, you’ll work with a global team of AI and ML practitioners, software engineers, and business and solution architects to implement state-of-the-art AI-enabled digital solutions for property and casualty (P&C) insurance globally. This position involves developing, deploying, and optimizing Large Language Models (LLMs).
MAJOR RESPONSIBILITIES:
Work closely with a team of AI engineers to design, build, and serve LLMs to solve complex business challenges using Azure (CPU & GPU environments).
Researching and implementing state-of-the-art LLM techniques including pre-training, fine-tuning, preference alignment, and deployment, with a focus on prompt engineering and generative AI.
Developing novel datasets to enable LLMs to perform new tasks and tooling/platforming to collect these samples at scale. Requires strong Python data fundamentals and a software mindset for creating repeatable, scalable, and high-quality data processing and collection pipelines.
Ensuring 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.
Managing project stakeholder expectations and issue communications on progress.
Reacting to shifting priorities without compromising deadlines and momentum.
QUALIFICATIONS:
Must have 3 - 6 + years’ experience in AI/ML.
Experience in LLM Engineering—pretraining, post-training/alignment.
Deep expertise in writing and reviewing production code in Python.
Understanding the development lifecycle for LLMs—developing datasets for pre-training, instruction tuning, and preference alignment alongside modeling techniques for each stage and LLM deployment.
Multi-disciplinary approach to problem-solving, including excellent interpersonal and communication skills (written and verbal).
Crisply discussing technical solutions while collaborating with business architects.
Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale.
Experience on distributed, high-throughput, and low-latency architectures.
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.).
Nice to have:
Experience defining system architectures and exploring technical feasibility tradeoffs.
Familiarity with end-to-end application development using full-stack.
Experience in P&C insurance.
Company
Chubb
Chubb is a global leader in insurance, operating in 54 countries and territories. We provide commercial and personal property and casualty insurance, personal accident and supplemental health insuranc...
Bengaluru, Karnataka, India
Posted on LinkedIn