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Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYour Role\nDrive the strategic vision for AI/ML initiatives and contribute to the overall AI strategy of the company.\nCommunicate complex technical concepts and results to business stakeholders effectively.\nProvide thought leadership and subject matter expertise in data science\nCollaborate with cross-functional teams to understand business needs and translate them into data science solutions\nLead a team of data scientists, MLOps, ML engineers, solution architects providing guidance, mentorship, and coaching\nOversee the end-to-end lifecycle of multiple AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.\nLeverage Agentic AI, generative AI and large language models (LLMs) to create innovative applications and solutions.\nDesign, Develop and implement data science projects, including machine learning models, deep learning models, Agentics and Generative AI, NLP solutions, statistical analysis, and data visualization\nEnsure data quality, scalability and reliability of AI systems\nStay up-to-date with the latest data science trends and technologies\nContribute to the development of data-driven solutions and products\nPresent data science generated insights and recommendations to stakeholders\nYour Skills\nStrong experience of developing and deploying the AI/ML, Gen AI and Agentic AI models in production\nStrong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies\nExperience with big data processing frameworks, such as Spark or Hadoop\nExtensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras.\nStrong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc.\nProficiency in programming languages such as Python, R, etc.\nExperience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. GCP is preferred.\nExperience with MLOps practices and tools for continuous integration and deployment of machine learning models.\nStrong leadership and team management skills, with experience in leading data science teams\nExcellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders\nStrong data security and privacy knowledge and experience\nExperience with agile development methodologies is a plus\nWhat will you love working at Capgemini\nYou will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.\nWe’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. \nAt Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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