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Capgemini Recruitment Drive; Hiring Data Engineer – Apply Now


Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Name of the Organization: Capgemini

Requisition ID: 47204

Positions: Data Engineer

Location: Bangalore

Salary: As per company Norms

Educational Qualifications:

  • Graduate
  • Excellent in Python Coding
  • Excellent in Communication Skills
  • Good in Data modelling, popular machine learning libraries and framework

Job Description:

At Capgemini Engineering, the world leader in engineering services, they bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join them for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description:

  • Expert knowledge in Python
  • Expert knowledge in popular machine learning libraries and frameworks, such as TensorFlow, Keras, scikit-learn.
  • Proficient understanding and application of clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points.
  • Expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition
  • Natural language Processing and recommendation systems.
  • Proficiency in working with databases, both relational and non-relational like MySQL with experience in designing database schemas
  • And optimizing queries for Efficient data retrieval.
  • Strong knowledge in areas like Object Oriented Analysis and Design, Multi-threading, Multi process handling and Memory management.
  • Good knowledge model evaluation metrics and techniques.
  • Experience in deploying machine learning models to production environments.
  • Currently working in an Agile scrum team and proficient in using version control systems (e.g., Git) for collaborative development.

 

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