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Metafusion
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Senior NLP Research Engineer

Senior NLP Research Engineer

Metafusion

4 - 6 years

6 - 8 Lacs

Noida

Posted:1 day ago| Platform:

Apply

Skills Required

Training metadata Product engineering GCP Machine learning Natural language processing Research Open source Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

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Senior NLP Research Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Job Title

Location

Qualification

Experience

About us

Roles and Responsibilities:

Senior NLP Research Engineer

natural language processing models

Generative AI-based assistants

video management ecosystem

LLM-based NLP models

custom pipelines

state-of-the-art open-source LLMs

prompt engineering, retrieval-augmented generation (RAG)

Job Requirements:

NLP, Machine Learning, or Deep Learning

VLMs and LLMs

Hugging Face, LangChain,LLama.cpp, TensorFlow/PyTorch

vector databases (e.g., FAISS, Pinecone, Weaviate)

RAG

Python

ML Ops or cloud platforms

NER, text classification, embeddings, tokenization

Transformers , loss functions

Our perfect candidate is someone that:

More Jobs at Metafusion