FAQs
What is the main focus of the Hybrid Intelligence team at Capgemini Engineering?
The Hybrid Intelligence team focuses on a fusion of applied mathematics, scientific computing, artificial intelligence, and software engineering to deliver revolutionary and multidisciplinary solutions for clients.
What qualifications are required for the role?
Candidates should be graduates in Engineering, Mathematics, Physics, or a related field, with experience as a Data Scientist or in AI/ML.
What programming languages and tools should I be familiar with?
Familiarity with R, Python, Pandas, Numpy, Matplotlib, Scikit-Learn, and pySpark is required.
Is experience with natural language processing (NLP) necessary for this position?
Yes, experience with NLP and large language models (LLMs) is essential for this role.
Are there opportunities for professional development?
Yes, Capgemini offers extensive training programs including online certifications, access to platforms like Coursera and Udemy, and continuous learning opportunities.
What is the vacation policy at Capgemini?
Employees receive 24 days of vacation, plus 2 personal days, and are off on December 24th and 31st, with the option to purchase up to 7 additional vacation days per year.
Is there an emphasis on diversity and inclusion within the company?
Yes, Capgemini values diversity and has a comprehensive equality plan and ethical code to ensure a discrimination-free workplace.
Will I have the opportunity to work on projects involving generative AI?
Yes, you will be responsible for developing and deploying generative AI solutions, with a focus on prompt engineering and implementing advanced AI techniques.
Does Capgemini support work-life balance?
Yes, the company provides a range of measures for development and work-life balance, including a buddy program for new employees and flexible working options.
How can I apply for a position at Capgemini?
Interested candidates can visit the Capgemini website to find more information and submit their applications.