Job Description
Location: India (Multiple Locations)
Job Type: Full-time
Introduction: 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.
Key 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.
Qualifications:
Experience- 8+ yrs
- 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).
Why Join Us?:
- Work with an innovative team on cutting-edge projects that are pushing the boundaries of artificial intelligence.
- Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI.
- Competitive compensation and benefits package.
Bangalore preferred but flexible on Location Flexible work environment,
Job Type: Full-time
Introduction: 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.
Key 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.
Qualifications:
Experience- 8+ yrs
- 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).
Why Join Us?:
- Work with an innovative team on cutting-edge projects that are pushing the boundaries of artificial intelligence.
- Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI.
- Competitive compensation and benefits package.
Bangalore preferred but flexible on Location Flexible work environment,
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application