Senior NLP Research Engineer

Nextmeta Labs; Dadri; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Nextmeta Labs in Noida is seeking a Senior NLP Research Engineer to design and deploy advanced NLP models for metadata and complex video datasets. You will work on generative AI assistants, live with production-grade systems, and collaborate with cross‑functional teams.

The role requires 4–6 years in NLP/ML, strong Python, and hands-on experience with LLMs, VLMs, and vector databases. A proactive, communicative team player is essential for this fast‑growing company.

Qualifications

• 4–6 years of NLP/ML/DL experience.
• Proven experience with VLMs and LLMs in real projects.
• Proficiency with Hugging Face, LangChain, LLaMA.cpp, TensorFlow or PyTorch.
• Hands-on with vector databases and RAG frameworks.
• Strong Python skills and ML Ops/cloud exposure (AWS/GCP/Azure).
• NLP techniques: NER, classification, embeddings, tokenization, Transformers.
• Knowledge of distributed training and serving large models.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, train, fine-tune, and deploy LLM-based NLP models.
• Build NLP pipelines for document intelligence and QA.
• Collaborate with product, engineering, and data teams for production deployment.
• Implement prompt engineering, retrieval augmented generation (RAG), and fine-tuning.
• Ensure ethical, safe, scalable deployment and monitoring of models.
• Stay updated with GenAI/NLP research and apply findings.

Skills

NLP

ML/DL

Python

LLMs

RAG

Prompt engineering

Transformers

Vector DBs

Education

BTech in CS/AI/DS

Tools

Hugging Face

LangChain

LLaMA.cpp

TensorFlow

PyTorch

FAISS

Pinecone

Weaviate

AWS

GCP

Azure

Job description

Job Title: Senior NLP Research Engineer

Location: Noida

Qualifications: 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).
• Implement prompt engineering, retrieval‑augmented generation (RAG), and fine‑tuning strategies.
• Ensure ethical, safe, and scalable deployment of LLM‑based systems.
• Ensure model reliability, safety, 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 (preferred).
• 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.
• Knowledge of distributed training and serving of large models.
• Strong problem‑solving and communication skills.

Ideal Candidate

• Proactive and an independent problem solver.
• A constant learner, ready to grow with a fast‑growing company.
• A team player and good communicator.