Principal Scientist-AI Research (Pune)

- - Define and drive the research roadmap across LLMs, multimodal AI, Generative AI, NLP, and agentic systems. - Lead research initiatives, experimentation, benchmarking, and publication of high-quality research outputs. - Design and optimise AI algorithms for large-scale model training, inference, reasoning, memory, and autonomous AI systems. - Develop scalable GenAI architectures, including retrieval-augmented generation (RAG), prompt orchestration, and agentic workflows. - Collaborate with engineering and product teams to deploy AI solutions into production environments. - Build and optimise distributed training pipelines, inference systems, and cloud-based AI platforms. - Mentor scientists and engineers, establish research best practices, and contribute to patents and reusable research assets. - Promote responsible AI practices, reproducibility, and research excellence. Required Skills - - Deep expertise in LLMs, Generative AI, multimodal AI, NLP, and agentic AI. - Solid knowledge of machine learning, deep learning, distributed systems, and AI model optimisation. - Experience with RAG architectures, prompt engineering, and scalable AI deployment. - Proficiency in Python and AI/ML frameworks such as PyTorch or TensorFlow. - Experience with cloud platforms (AWS, Azure, or GCP), MLOps/LLMOps, and real-time inference systems. - Strong research, analytical, and problem-solving skills. - Ability to mentor teams and collaborate across research, engineering, and product functions. Qualifications & Experience: - - Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 1015 years of experience in AI research, machine learning, or advanced AI technology development. - Demonstrated experience leading AI research initiatives and delivering production-ready AI solutions. - Strong publication record and contributions to AI research, patents, or open-source projects are preferred. Preferred Attributes - - Scientific leadership and innovation mindset. - Experience in research commercialisation and enterprise AI platforms. - Ability to translate frontier AI research into practical business and product outcomes. - Excellent communication and stakeholder engagement skills. .