Senior Research Scientist - NLP, Foundation Models & Agentic AI

As a Research Scientist at our company, you will lead cutting-edge research and development in Natural Language Processing (NLP), Foundation Models, Generative AI, Reasoning Systems, Agentic AI, and Multimodal Intelligence.

will involve conducting original research, designing novel architectures and algorithms, and contributing to next-generation intelligent systems that can reason, plan, learn, retrieve knowledge, and interact autonomously across multiple modalities. **

:** - Conduct original research in NLP, Deep Learning, Generative AI, Foundation Models, Agentic AI, and Multimodal AI. - Design and develop novel architectures, algorithms, and training methodologies for large-scale AI systems. - Investigate emerging areas such as Reasoning Models, Agentic Workflows, Multi-Agent Systems, Long-Context LLMs, Retrieval-Augmented Generation (RAG), Memory-Augmented Systems, AI Alignment & Safety, Synthetic Data Generation, Knowledge Grounding, and Continual Learning. **Foundation Model Development:** - Design, train, fine-tune, and evaluate large language models and foundation models. - Develop efficient training and inference methodologies. - Work on instruction tuning, alignment, preference optimization, and reinforcement learning-based approaches. - Build scalable model pipelines for experimentation and deployment. **AI Product Development:** - Translate research innovations into deployable AI capabilities. - Collaborate with engineering and product teams to productionize research outcomes. - Design end-to-end AI solutions covering Data collection, Data curation, Model training, Evaluation, Deployment, Monitoring, and Continuous improvement. **Evaluation & Benchmarking:** - Develop robust evaluation methodologies for Reasoning, Hallucination Reduction, Agent Performance, Retrieval Quality, Safety, and User Experience. - Design benchmarks and experimental frameworks for model comparison and validation. **Leadership & Collaboration:** - Mentor junior researchers and ML engineers. - Drive technical strategy for advanced AI initiatives. - Publish research findings in leading conferences and journals. - Represent the organization in academic, research, and industry forums. **