Understand existing claim repo full stack code, optimize code and application for best performance, readability and scalability
Use development resources to find new and time saving ways to increase the richness and accuracy of our insights and processes
Write and review technical documents and participate in collaborative code reviews.
Embed and improve an existing BARD solution into the claim repo tool.
Based on the team's final business functional decisions, build in further upgrades including access control, etc.
Build a claim LLM to replace manual steps for submitters and PMOs including guiding people through the intake process, summarize key points for feedback and identify action items for PMOs.
Minimum Qualifications:
BA/BS in Computer Science and/or related discipline.
7+ years of experience managing multiple projects based on modern Python development, either as part of a consulting agency or as part of an in-house development team.
Experience with Python3 standards and general concepts behind code readability.
5+ years’ experience with deployment on GCP.
Proficiency building and performance tuning apps on AppEngine or equivalent serverless platform.
Familiarity with unit testing, version control and continuous integration.
Practical experience with extraction, transformation, aggregation of large data sets as well as in using combinatorics, statistical methods, and other advanced mathematical methods to solve problems.
Able to operate in a fast-paced, agile environment with a deep desire to build high impact, scalable data insight projects/processes.
Interested in learning new things to solve a challenge, able to problem solve without help.