2024-7328Intelligent Document Processing Data Scientist Senior
2024-7328Intelligent Document Processing Data Scientist Senior
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1 Vacancy
Job Description
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
- Deliver production quality solutions for data extraction classification triaging routing search etc.
- Programmatically explore data derive insights that are statistically sound and convey findings to colleagues of varying sophistication
- Label and validate datasets of various sizes using manual methods as well as programmatic and AI driven approaches
- Evaluate the performance of models and solutionsasawhole on practical and statistical benchmarks
- Collaborate with other scientists engineers product owners and business customers to develop solutions that meet the business problem
- Create contribute to improve and convey technical and nontechnical documentation of solutions
Qualifications :
- 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. GPT4o 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
Additional Information :
- BS in Computer Science Information Technology degree Data Analytics or equivalent
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
