AI Engineer
Chubb
- Jersey City, NJ
- $78,000-125,500 per year
- Permanent
- Full-time
- Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process.
- Work closely with team of data scientists to implement and test machine learning models to solve complex business challenges on Azure platform.
- Research & implement 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.
- Integrate with data / document sources using APIs and / or data pipelines.
- Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.
- Effectively communicate with key stakeholders in written, oral and presentation formats.
- 3+ years' experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
- 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 Jenkins.
- Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.
- Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills.
- A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends.
- Appetite for learning and keeping up to date on the latest generative AI technologies and processes
- Comfortable with command line (Linux, Windows) scripting.
- Familiarity with Prompt Engineering
- Familiarity with generative AI techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other generative models.
- Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++).
- Exposure to technologies such as DBT, Apache AirFlow or Luigi.
- Working knowledge of containers, specifically Dockerizing APIs.
- Exposure to CI-CD pipelines.
- Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.)
- Bachelor's / Master's degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).
- We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT).
- Please note there will be limited expected travel to various work locations for in person collaboration and meetings.