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Mid-level LLM role, metro Bangalore location, and broad skill requirements increase competition.
Role requires specialized LLM/NLP and ML infrastructure skills, making cross-industry transferability low.
Explicit 5+ years requirement, LLM/NLP specialization, degree preference and specific tech stack make shortlisting strict.
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Lead development and optimization of generative AI, NLP, and large language model technologies including quantization and computational enhancements.
Design and implement LLM training processes including data processing, alignment, reinforcement learning, and multilingual/multimodal modeling.
Deploy, monitor, and manage production ML models and infrastructure leveraging cloud platforms and container orchestration tools.
5+ years experience specifically in NLP, Generative AI, and LLM research and development.
Master’s degree in Computer Science, Computer Engineering, or related technical field; Ph.D. preferred.
Programming proficiency in Python and experience with ML/DL frameworks such as PyTorch or TensorFlow.
Experience with cloud platforms (AWS, GCP, Azure) and ML model production deployment required.
Strong expertise in cutting-edge large language model techniques including SFT, LangChain integration, and reinforcement learning for language model tuning.
Experience managing scalable ML infrastructure and ensuring high availability with production-grade deployment.
Preference for candidates with healthcare domain experience and background in research or advanced AI engineering roles.