About Capgemini
The Digital Engineering Team is part of Capgemini’s eAPM Practice (Engineering, Application & Platform Management), a leading provider in engineering services, maintaining an innovative role by joining alongside the best engineers/scientists/architects globally with entities such as Altran). We exist to enable the most innovative companies in the world to reach their full potential and — from self-driving cars, drones or life-saving robotic works. You have a career not just in endless opportunities to make an impact, but doing so across every single industry imaginable through one-of-a-kind R&D and engineering services.
Job Details:
| Company Name: | Capgemini |
| Title | Data Engineer |
| Job Type | Full-Time |
| Experience | 0-2 years |
| Qualification | Bachelor/Master’s degree in Computer Science, Engineering or related field |
| Skills | Python, Machine Learning and Deep learning algorithms, Tensorflow/ Keras/mxnet/a ceptation of scikit-learn too (DB)/ Agile. |
| Salary | As per your performance |
| Location | Bangalore |
Key Responsibilities:
These are main duties which you must do are:
Python Data Science Handbook: Build amazing data science applications using the power of Python
ML Libraries: Use TensorFlow, Keras and scikit-learn for machine learning model build & optimization.
Aplication-Applying K-means and other algorithms, for fractal problems as image recognition and natural language process.
Database Management— Create optimal schemas, and code queries that access data from both relational databases (such as MySQL and Postgres)and non-relational one such as NoSQL.
Deployment: Virtually deploy machine models in production environments.
Agile Design — Participate in Agile scrum teams, working on design issues and maintaining your Git branches through sprint cycles.
Skills Required:
- Python Proficiency: Advanced experience in Python coding.
- Machine learning Mastery: Strong understanding of ML frameworks such as TensorFlow, Keras, and scikit-learn.
- Data handling: Knowledge in data modeling such as clustering, classification, and database management.
- Agile methodology: Experience using Agile workflows and collaborate tools like Git.
- Communication Skills: Good communication ability to work effectively in a team.
Why Capgemini Engineering?
As a global business and technology transformation partner, we thrive on innovation and change. We are committed to fostering sustainable growth and advancing technology. With a diverse team of 340,000 professionals across 50 countries, Capgemini Engineering harnesses the power of AI, clouds, and data to drive industry-leading innovation. Our global commercial revenues were €22.5 billion in 2023.
How to Apply:
If you are fascinated by python and machine learning and want to work with the best in the industry, then this is the right place for you. Apply today using the link below:
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