Capgemini

Data Engineer

Job description

Details


Duration
: 2+ months


Responsibilities:


  • Identify and validate business use cases that can be solved with AI/ML
  • Analyze and visualize data at different stages of the modeling pipeline
  • Identify additional datasets required for use cases
  • Coordinate with cross-functional teams to seek feedback on models, share results and implement models
  • Creating and maintaining models and model versions, experiments and metadata


Skillsets:


  • Languages: Python, SQL
  • Tools: Jupyter notebooks, Bitbucket , Familiar with Tensor Flow/Pytorch
  • AWS Components and Libraries: Boto, Sagemaker, AWS Wrangler


The Capgemini Freelancer Gateway is enabled by a cutting-edge software platform that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.


A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50 year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion.

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