Requirements
Design, develop, and refine at least one Python framework, such as Django, Flask, or Pyramid. Collaborate with scrum master, product teams, and data engineer to ensure Python framework alignment with Human Resource goals and user needs. Able to understand front-end technologies, like JavaScript and HTML, as part of their duties includes integrating applications. Excellent collaborative skills as they work closely with web developers, software engineers, and product owners. Provide support to content and product teams in understanding data engineering best practices.
Draft and distribute reports on data pipeline or job performance and development progress. Own the design, development, and deployment of Python related work needed for the AI application. Prepare data set for training LLM model for its analytical and operational uses. Discover opportunities for data acquisition. Build and maintain data pipelines to extract relevant datasets needed for the LLM use case. Perform data profiling and ensure quality data is coordinated with the LLM models. Recommend ways to improve data quality, reliability and efficiency. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
Benefits
Graduate with computer science background or from life science background are needed.
- The candidate should be capable of addressing all backend issues, excluding the React front-end
- Experience in the healthcare field would be a significant advantage but is not required