Job Description

AI Engineer

The AI Team at Chubb is looking for a multilingual AI Engineer, to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to lead an AI engineering team in delivering high quality AI products.

Major Responsibilities

• Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges on Azure platform with focus on English and non-English models.
• Researching & implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
• Define individual tasks for the development team and track progress on a regular basis.
• 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.

Minimum Requirements

• Must have:
  • 5+ years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
  • Proficiency in Mandarin and English is essential.
• Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
• 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 Jenkin
• 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.