onsite
AI Engineer - Tata Consultancy Services
AI Engineer
AI Engineer focused on cutting‑edge GenAI research, developing and optimizing large language models for multimodal and agentic applications using fine‑tuning, distillation, and inference techniques.
About the role
Key Responsibilities
- Lead research and development of large language models, including multimodal and agentic AI systems.
- Design and implement fine‑tuning, distillation, and test‑time scaling pipelines to improve model performance and efficiency.
- Optimize inference workflows for production deployment, ensuring low latency and high throughput.
- Collaborate with cross‑functional teams to integrate reasoning models into end‑to‑end AI solutions.
- Publish findings and contribute to open‑source projects, staying current with the latest LLM advancements.
Requirements
- Master’s degree in Computer Science, Machine Learning, or related field.
- Proven experience with large language models, multimodal architectures, and agentic AI.
- Strong programming skills in Python and familiarity with deep learning frameworks (PyTorch, TensorFlow).
- Hands‑on expertise in fine‑tuning, distillation, inference optimization, and test‑time scaling.
- Excellent analytical, problem‑solving, and communication skills.
Skills
software developmentsystem designproblem solving