Job Description

Responsibilities :
Design, develop, and train transformer-based models for multiple-modality to support a variety of AI-powered applications.
- Experiment with various architectures, training techniques, and optimization methods to improve the model's understanding and generative capabilities.
- Innovate robust and scalable architectures to accommodate the future requirements.
- Troubleshoot and debug model issues, ensuring the models remain robust and adaptable.
Additional Responsibilities :
Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields (Ph.D. preferred).
- Proven experience in training models (both text and multi-modal models).
- Strong knowledge of transformer architectures and their underlying principles.
- Experience with model pre-training, finetuning and distributed training.
- One or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS).
Technical and Professional Requirements :
We are looking for a passionate and talented Researcher to join Infosys Applied AI research team. As an Researcher, you will work on architecting, building, refining, and optimizing state-of-the-art Models that drive cutting-edge multi-modal, multi-domain understanding and generation capabilities. If you have experience building LLM/SLM/Multimodal models, we would love to hear from you.
Preferred Skills :
Technology->Artificial Intelligence->Artificial Intelligence - ALL
Educational Requirements :
Bachelor of Engineering,PhD of Computer Science,PhD of Engineering
Service Line :
Data & Analytics Unit