AI Engineer - Must be Spanish and English Fluent in London

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 a team of data scientists to design, build, and test machine learning models to solve complex business challenges on the Azure platform with a focus on English and non-English models.
• Research and implement 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.
• Build reusable tools to streamline the modeling pipeline and share knowledge.
• Manage project stakeholder expectations and communicate progress.
• React to shifting priorities without compromising deadlines and momentum.

Minimum Requirements

• 5+ years’ experience in Machine Learning (ML), with deep expertise in writing and reviewing production code in Python.
• Proficiency in Spanish is a must and English is essential for this role. (Knowledge of other European languages or Asian languages is a bonus).
• 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) 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.