Gen Ai Solution Architect | Pan India at Capgemini Portugal

Kolkata, west bengal, India -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Machine Learning, Neural Networks, Natural Language Processing, Python, Java, C++, TensorFlow, PyTorch, Keras, Cloud Technologies, Docker, Kubernetes, Problem Solving, Communication, Leadership

Industry

IT Services and IT Consulting

Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Your Role Design and architect scalable and efficient generative AI models and systems. Develop and implement generative AI algorithms for various applications, including text generation, image synthesis, and more. Collaborate with data scientists, machine learning engineers, Integration engineers, UI Developers and software developers to integrate AI models into production environments. Lead the development of AI-powered applications and services, ensuring they meet performance, scalability, and reliability requirements. Stay updated with the latest advancements in Gen AI, LLMs, Gen AI Frameworks, Cloud technologies, AI and machine learning, and apply them to improve existing systems and processes. Provide technical guidance and mentorship to team members and stakeholders. Conduct research and experiments to push the boundaries of generative AI capabilities. Your Profile Master's or PhD degree Computer Science, Engineering, Mathematics, or a related field or a related field. 7+ years of experience in AI/ML development, with a focus on generative models. Strong proficiency in programming languages such as Python, Java, or C++. Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven track record of designing and deploying AI systems in a production environment. Deep understanding of neural networks, natural language processing, and generative models (e.g., GANs, VAEs, Transformers). Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). What you 'love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. 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. The Group reported 2023 global revenues of €22.5 billion.

Responsibilities

Design and architect scalable generative AI models and systems. Collaborate with cross-functional teams to integrate AI models into production environments.