6+ years of experience in AI and machine learning, out of which 3+ years of experience in machine learning engineering, NLP, Generative AI, and LLM technologies. Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.). Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies. Hands-on experience of MLOps and LLMOps is desired. Knowledge of design, implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have. Advanced knowledge of Python and some experience in ML frameworks (PyTorch, scikit-learn, etc.) for training, fine-tuning, and deploying generative models is desired. Experience with Cloud technology, preferably AWS. Experience with Voice Conversational AI will be a big plus. Ability to contribute both independently and as part of a team. Excellent analytical and problem-solving...