Job Description
AI Engineer ( English and Spanish fluent).
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.
Qualifications
Minimum Requirements
* Must have:
o 5+ years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
o Proficiency in Spanish is a must and English is Essential for this role. (Knowledge of other European languages or Asian Languages is 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 etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn
* Familiarity with Continuous Integration tools such as Jenkin
* Nice to have:
o Experience defining system architectures and exploring technical feasibility trade-offs is a huge plus.
o Experience in NLP feature engineering and SoTA modeling techniques, such as transformers (e.g., BERT, GPT) is a huge plus.
o Familiarity with end-to-end application development using full stack is a plus.
o Experience in P&C insurance is a plus.