At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help. We will incorporate best-in-class engineering and product management principles, and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build and scale world-class products.
Requirements
- You bring knowledge of applied data scientist in a product development environment.
- You have experience across the full ML lifecycle.
- Ability to leverage key Python packages for data wrangling, machine learning and deep learning such as pandas, scikit-learn, TensorFlow, torch, transformers, LangChain, etc.
- You have data engineering skills in Python and PySpark.
- Experience and knowledge of using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters.
- You have experience in data engineering, programming, and delivering scalable data solutions in complex environments.
- Knowledge of Palantir platforms will be plus
Responsibilities
- Supporting the development, and implementation of data science and generative AI models that deliver real-world impact, through getting hands-on in data engineering.
- Developing end-to-end data science & AI/ML projects, from conceptualization to operational rollout, while ensuring that all solutions align with ethical and regulatory standards.
- Utilize Retrieval-Augmented Generation (RAG) and Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks.
- Driving continuous improvement of AI capabilities by staying at the forefront of emerging technologies and identifying how they can enhance our operations.
- Contributing to day-to-day direction of multiple components of Data Science activities.
- You have built frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap
- You have experience or a strong willingness to learn data science techniques such as Gen AI, deep learning, machine learning, statistical modelling, NLP, NLU.
Other
- PHD candidate with 2+ year’s industry experience with master's degree
- A track record of successfully academic paper in Gen AI area.
- Veterans are encouraged to apply.
- At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office.
- Collaborating with teams across the business—product managers, business leaders, engineers, and others—to create data-driven solutions that make a difference.
