Python Developer with AI/ML
1 month ago
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-endExperience in the healthcare field would be a significant advantage but is not required
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
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