Senior NLP Research Engineer

Job Description For Senior NLP Research Engineer

Job Title : Senior NLP Research Engineer

Location : Noida

Qualification : BTech in CS/ AI/Data Science or related discipline

Experience : 4-6 Years

About Us

Metafusion is a groundbreaking analytics platform that harnesses the formidable trio of big data analytics, Computer vision and NLP to unlock the boundless potential within metadata. Through its sophisticated AI layer, Metafusion seamlessly extracts actionable insights, empowering users to effortlessly traverse vast metadata repositories. Its intuitive search engine adeptly interprets natural language queries, while the integration of computer vision technology elevates analysis by providing insights from visual data. Metafusion not only redefines the landscape of data analytics but also empowers organizations to make informed decisions and propel innovation across diverse industries.

Roles And Responsibilities

We’re looking for a talented and driven Senior NLP Research Engineer to join our AI/ML team. In this role, you’ll design and implement advanced natural language processing models that interpret metadata and user queries across complex video datasets. You’ll 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.
  
  

Job Requirements

• 4–6 years of experience in NLP, Machine Learning, or Deep Learning roles.
• Proven experience in working with VLMs and LLMs in real-world projects.
• Proficiency 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 (Not required but appreciated).
• 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.
• Knowledge of distributed training and serving of large models.
• Strong problem-solving and communication skills.
  
  

Our Perfect Candidate Is Someone That

• Is proactive and an independent problem solver
• Is a constant learner. We are a fast-growing company. We want you to grow with us!
• Is a team player and good communicator