Capgemini

Generative AI | 10 to 18 years | PAN India

Posted On

March 3, 2025

Location

Gurgaon, Haryana

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

March 19, 2025

Job Description

Capgemini Invent

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses.

Your Role

Generative AI System Design: Architect and implement advanced generative AI models, focusing on applications such as image and text generation, content creation, and synthetic data generation.
Model Development and Optimization: Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives.
AI/ML Integration: Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency.
Cross-functional Collaboration: Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives.
Innovation Leadership: Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team.
Ethical AI Implementation: Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements

Your Profile

Education & Experience: bachelor’s or master’s degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models.
Technical Skills: Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch. Experience with Azure OpenAI, Open Source LLMs, and LangChain.
Data Science Expertise: Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models.
Techniques/Approaches: Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning.
Domain Knowledge: Familiarity with NLP or computer vision related to generative AI applications.

What you will love about working here

We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
Equip yourself with valuable certifications in the latest technologies such as Generative AI.

About Capgemini

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.Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

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