Engineer Artificial Intelligence: Tata Consultancy Service Limited

ata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions. This role is for their innovative AI Incubation team, indicating a focus on cutting-edge research and development within the artificial intelligence domain.

About the Role
TCS is seeking a highly skilled and motivated GenAI Engineer with a Master's degree to join their AI Incubation team. The ideal candidate will possess strong expertise in the latest advancements within Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference optimization, test-time scaling, and reasoning models. This position demands a hands-on approach to research, development, and implementation of cutting-edge AI solutions.

Key Responsibilities
Conduct advanced research in Generative AI, with a primary focus on the latest advancements in LLMs.

Develop and implement advanced techniques in multimodal LLMs, agentic AI, fine-tuning, distillation, inference optimization, test-time scaling, and reasoning models.

Collaborate with cross-functional teams to integrate AI solutions into existing and new products.

Analyze and interpret complex datasets to drive research and development initiatives.

Design, execute, and evaluate experiments to validate new AI models and techniques.

Contribute to the publication of research findings in reputable journals and present at conferences.

Mentor and guide junior researchers and data scientists.

Stay updated on the latest trends and advancements in AI and machine learning.

Qualifications
Education: Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Expertise: Proven expertise in the latest advancements in LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, inference optimization, test-time scaling, and reasoning models.

Hands-on Experience: Strong hands-on experience in research and development of AI models and algorithms.

Programming Proficiency: Proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

Analytical Skills: Excellent analytical and problem-solving skills.

Work Ethic: Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Communication: Excellent communication skills, with the ability to present complex ideas clearly and concisely.