2024-7328_Intelligent Document Processing Data Scientist Senior
1 week ago
- Full-time
Arch Global Services offers competitive pay and a comprehensive benefits package. Additionally, Arch is committed to helping its associates create what's next by providing access to a variety of programs supporting your professional development and a culture that encourages innovation, collaboration, and professional growth. We seek talent that thinks innovatively, values collaboration, and will go the extra mile to serve our customers and develop our company. We also have a little fun along the way; check out our Holiday Party.
Job DescriptionJob 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.
- Evaluate the performance of models and solutions as a whole 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 non-technical documentation of solutions.
- Experience applying quantitative methods in a corporate environment.
- Experience with Python from a functional programming paradigm, able to manage dependencies, virtual environments, and version controlling it.
- Experience with cloud computing platforms such as Azure, AWS, or GCP.
- Experience with generative algorithms (e.g., GAN, VAE, etc.) as well as foundation models (e.g., GPT-4, SAM, Mistral).
- Experience developing solutions from inception through deployment.
- 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.
- BS in Computer Science, Information Technology degree, Data Analytics or equivalent.
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