Capgemini
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Kolkata · Hybrid · 5-8 Yrs · Aug 16
Enterprise Software & Network Solutions · 10000+ Employees · Paris, France
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 fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Capgemini in India comprises nearly 175,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem and Tiruchirappalli. Get The Future You Want | Learn more about Capgemini in India at www.capgemini.com/in-en.
Hiring: Engineering
What employees say
+ Good company to begin your career as a fresher and retire as an experienced professional
− Not a good org in the middle band, as limited career growth opportunities and pay hike is minimal as compared to market standards
More reviews on the company profile.
Interview experience · Senior Consultant
I attended a walk in interview drive. The arrangement was good and the panel was knowledgeable. The questions were moderately difficult and there was two technical rounds, followed by a HR round.
Average difficulty · India · 17,487 reports
More interview insightsJob description
Overview
We seek professionals with experience in Natural Language Processing (NLP), AI/ML concepts such as Retrieval-Augmented Generation (RAG) and neural networks, and proficiency with AI/ML frameworks including TensorFlow and PyTorch.
Responsibilities
- Apply expertise in Natural Language Processing to solve complex AI challenges.
- Utilize AI/ML frameworks such as TensorFlow and PyTorch to develop intelligent solutions.
- Leverage knowledge of Retrieval-Augmented Generation (RAG), neural networks, and AI concepts for designing advanced models.
- Implement and maintain AI and machine learning algorithms effectively.
Qualifications
- Between 5.5 to 14 years of experience focusing on Generative AI and machine learning algorithms.
- Strong hands-on expertise in NLP techniques and tools.
- Knowledge of AI platforms’ functionalities and limitations.
- Proficiency in developing and implementing AI models.
- Flexible work arrangements with support for hybrid working options to help maintain a healthy work-life balance.
- Dedicated emphasis on career advancement and professional growth through exposure to various opportunities.
- Access to valuable certifications and training programs in emerging technologies including Generative AI.
- A minimum of 5.5 years and up to 14 years of professional experience with Generative AI and Machine Learning techniques.
- Demonstrated experience with Natural Language Processing.
- Understanding of AI platforms to appreciate their practical capabilities and shortcomings.
- Ability to design, build, and deploy AI models efficiently.
Education
- Flexible work arrangements including hybrid work options for work-life balance.
- Opportunities for career progression and professional development.
- Access to training programs and certifications in latest tech areas such as Generative AI.
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