Senior NLP Research Engineer

3 weeks ago

Noida, India YO HR Consultancy Full time

Senior NLP Research EngineerLocation - NoidaExperience - 4 to 6 yearsMust have :- Experience in NLP, Machine Learning, or Deep Learning.- Experience in working with VLMs and LLMs.- Experience with tools such as Hugging Face, LangChain,LLama.cpp, TensorFlow/PyTorch.- Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG frameworks- Strong programming skills in Python and some experience with ML Ops or cloud platforms (AWS/GCP/Azure).- Deep understanding of NLP techniques including basics such as NER, text classification, embeddings, tokenization, Transformers , loss functions etc.Roles and Responsibilities :Looking for a talented and driven Senior NLP Research Engineer to join our AI/ML team. In this role, youll design and implement advanced natural language processing models that interpret metadata and user queries across complex video datasets. Youll also contribute to the development of Generative AI-based assistants, integrated into our video management ecosystem, enhancing user experience through natural interaction and smart search.- Design, develop, Train, fine-tune, and deploy LLM-based NLP models for various enterprise use cases.- Experience in Designing the network from scratch according to the problem statement given.- Experience in training methodologies to handle the large dataset to train the networks.- Collaborate with product, engineering, and data teams to integrate NLP solutions into production-grade systems.- Build and optimize custom pipelines for document intelligence, question answering, summarization, and conversational AI.- Experience and understanding with state-of-the-art open-source LLMs (e.g.,GPT, LLaMA, Claude, Falcon etc.).- Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning strategies.- Ensure ethical, safe, and scalable deployment of LLM-based systems..- Ensure model reliability safeDesign, develop, Train, fine-tune, and deploy LLM-based NLP models for various enterprise use cases.ty, performance, and compliance using evaluation and monitoring frameworks.- Stay updated with the latest research in GenAI and NLP, and apply relevant findings to improve current systems. (ref:hirist.tech)

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