Job Description
The ideal Senior AI & Automation Scientist candidate for this role will have insurance industry experience with Natural Language Processing (NLP) and perhaps Computer Vision (CV) especially applied to data extraction problems. They will be skilled in transfer learning and possess an understanding of and capability in Deep Learning (DL). They can perform work in each of those areas by leveraging a cloud environment like Databricks on Azure with Python in a notebook and IDE environment with version control leveraging git. They can navigate API based generative AI models like those from OpenAI. They can perform these tasks collaboratively, transparently, and seek to improve the skill of the team overall.
Job Responsibilities
Experience applying quantitative methods in a corporate environment
Experience with Python from a functional programming paradigm, able to manage dependencies, virtual environments, and version control in git
Experience with cloud computing platforms such as Azure, AWS, or GCP
Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
Experience with generative algorithms (e.g., GAN, VAE, etc.) as well as foundation models (e.g., GPT-4o, SAM, Mistral)
Experience developing solutions from inception through deployment
Preferred Qualifications
Graduate degree in a quantitative field
Experience with sequential algorithms (e.g., LSTM, RNN, GRU, etc.)
Experience evaluating ethical implications of AI and considerations around controlling them