Capgemini - Senior Generative AI Research Scientist/Lead Generative AI Engineer

Responsibilities : - Lead and conduct advanced research in generative AI, focusing on GANs, VAEs, and other state-of-the-art models. - Develop innovative algorithms and techniques to push the boundaries of generative AI. - Collaborate with interdisciplinary teams to apply generative models in various domains such as healthcare, finance, Power & utility, manufacturing and supply chain. - Design, develop, and deploy generative AI models for complex real-world applications. - Optimize models for performance, scalability, and robustness. - Implement multimodal, Multi Agent/Agentic AI in Gen AI. - Work closely with research scientists to implement cutting-edge generative algorithms. - Lead a team of engineers, providing technical guidance and mentorship. - Develop and maintain AI pipelines for data processing, model training, and deployment. - Conduct thorough testing and validation of models to ensure high-quality outputs. - Mentor junior researchers and guide their projects. - Publish high-impact research papers in top-tier conferences and journals. - Stay abreast of the latest trends and advancements in AI and machine learning. Qualifications : - Ph.D./Engineering/MCA in Computer Science, Machine Learning, or a related field. - 6 - 10 years of experience in AI research, with a strong focus on generative models. - Proven track record of publications in reputable conferences and journals. - Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch. - Experience with large-scale data processing and model training. - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. - At least 5+ years of experience in Python/Pyspark with hands-on delivery experience; Pandas/NumPy, TensorFlow, Flask/FastAPI, scikit-learn.