Python Developer with AIML
Requirements
- Designdevelop and refine at least one Python framework such as DjangoFlask orPyramid.
- Collaboratewith scrum master product teams and data engineer to ensure Pythonframework alignment with Human Resource goals and userneeds.
- Ableto understand frontend technologies like JavaScript and HTML aspart of their duties includes integratingapplications.
- Excellentcollaborative skills as they work closely with web developerssoftware engineers and productowners.
- Providesupport to content and product teams in understanding dataengineering bestpractices.
- Draftand distribute reports on data pipeline or job performance anddevelopmentprogress.
- Ownthe design development and deployment of Python related work neededfor the AIapplication
- Preparedata set for training LLM model for its analytical and operationaluses
- Discoveropportunities for dataacquisition
- Buildand maintain data pipelines to extract relevant datasets needed forthe LLM usecase
- Performdata profiling and ensure quality data is coordinated with the LLMmodels
- Recommendways to improve data quality reliability andefficiency
- Proficiencywith Python and basic libraries for machine learning such asscikitlearn andpandas
Benefits
Graduatewith computer science background or from life science backgroundare needed.
The candidate should becapable of addressing all backend issues excluding the Reactfrontend
Experiencein the healthcare field would be a significant advantage but is notrequired
Design, develop, and refine at least one Python framework, such asDjango, Flask, or Pyramid. Collaborate with scrum master, productteams, and data engineer to ensure Python framework alignment withHuman Resource goals and user needs.
Able to understand front-endtechnologies, like JavaScript and HTML, as part of their dutiesincludes integrating applications.
Excellent collaborative skillsas they work closely with web developers, software engineers, andproduct owners. Provide support to content and product teams inunderstanding data engineering best practices.
Draft and distributereports on data pipeline or job performance and developmentprogress. Own the design, development, and deployment of Pythonrelated work needed for the AI application Prepare data set fortraining LLM model for its analytical and operational uses Discoveropportunities for data acquisition Build and maintain datapipelines to extract relevant datasets needed for the LLM use casePerform data profiling and ensure quality data is coordinated withthe LLM models Recommend ways to improve data quality, reliabilityand efficiency Proficiency with Python and basic libraries formachine learning such as scikit-learn and pandas
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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...
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