FDM is seeking a AI/ML Engineer to support a project in the Insurance sector, involving the development and implementation of Artificial Intelligence and Machine learning models to solve complex business challenges on Azure platform.
Requirements
- 4+ 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 and deploying scalable end-to-end Machine Learning/NLP systems as Databricks jobs/ dockerized containers
- Experience on distributed, high throughput and low latency architecture.
- Experience with NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
- Experience with Prompt Engineering techniques
- Understanding of LLM functionality and inference techniques
Responsibilities
- 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 develop, implement and test Artificial Intelligence and 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.
Other
- 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).
- 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
- Must be willing to work in office 4 days per week
