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.