Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges.
Researching & implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
Building reusable tools to streamline the modeling pipeline and sharing knowledge.
Manage project stakeholder expectations and issue communications on progress.
React to shifting priorities without compromising deadlines and momentum.
Qualifications
Minimum Requirements and Qualifications
Must have:
8+ years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
Experience with LLM tooling and frameworks like LangChain, LlamaIndex etc.
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience with designing scalable end-to-end Machine Learning/NLP systems.
Experience on distributed, high throughput and low latency architecture.
Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
Familiarity with Continuous Integration tools such as Jenkins.
Nice to have:
Experience defining system architectures and exploring technical feasibility trade-offs is a huge plus.
Experience in NLP feature engineering and SoTA modeling techniques, such as transformers (e.g., BERT, GPT) is a huge plus.
Familiarity with end-to-end application development using full stack is a plus.
Experience in P&C insurance is a plus
Skills Required
- 8+ years of experience in machine learning
- Deep expertise writing and reviewing production Python code
- Experience with LLM tooling and frameworks such as LangChain and LlamaIndex
- Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns
- Experience designing scalable end-to-end machine learning and NLP systems
- Experience with distributed, high-throughput, and low-latency architectures
- Understanding of NLP techniques including text preprocessing, entity extraction, encoder-decoder architectures, and similarity matching
- Experience building software using containerization technologies such as Kubernetes and Docker
- Familiarity with FastAPI and Uvicorn
- Familiarity with continuous integration tools such as Jenkins
- Experience defining system architectures and evaluating technical feasibility trade-offs
- Experience with NLP feature engineering and state-of-the-art modeling techniques such as transformers, BERT, and GPT
- Familiarity with end-to-end full-stack application development
- Experience in property and casualty insurance
Chubb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Chubb and has not been reviewed or approved by Chubb.
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Healthcare Strength — Healthcare coverage includes multiple medical plan options with preventive care, plus dental and vision, alongside HSAs/FSAs, telemedicine, and wellness resources. The breadth of offerings is presented as comprehensive for a large insurance employer.
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Retirement Support — A 401(k) plan with company contributions anchors the financial benefits, complemented by life and disability insurance. These programs reinforce long-term savings and protection.
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Strong & Reliable Incentives — Performance-based and year-end bonuses are part of the total rewards, with structured reviews supporting incentive opportunities. These components provide compensation beyond base salary.
Chubb Insights
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, 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. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
