NLP Engineer

Job Title : Data Scientist – NLP & LLM

Experience Required : 4 to 5+ Years

Location : Gurugram

Notice Period : Immediate Joiner Preferred

Employment Type : Full-Time

Job Summary :

We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.

Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python

Key Responsibilities :

• Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
• Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
• Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
• Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
• Perform data preprocessing, feature extraction, and training pipeline development.
• Evaluate model performance and iterate with scalable solutions.
• Collaborate with engineering and product teams to integrate models into production.

Required Skills :

• 4 to 5+ years of hands-on experience in Data Science and NLP.
• Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
• Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
• Familiarity with prompt engineering and fine-tuning LLMs is a plus.
• Excellent problem-solving and communication skills.

Key Responsibilities

 Strong understanding of Machine Learning algorithms (supervised and unsupervised)

 Hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, or similar)

 Experience in NLP techniques and libraries (NLTK, spaCy, Hugging Face, etc.)

 Solid knowledge of Statistics, probability, and data analysis methods

 Proficiency in SQL for querying relational databases

 Strong programming skills in Python (or similar languages)

 Excellent communication skills with the ability to explain complex concepts simply

Required Qualifications

 3+ years of hands-on experience as a Data Scientist or in a similar role.

 Strong expertise in classical machine learning and regression modeling.

 Solid understanding of statistics, including probability, distributions, hypothesis testing,

and correlation analysis.

 Proficiency in Python with libraries such as: scikit-learn pandas NumPy

 Experience working with structured/tabular data.

 Strong problem-solving and analytical thinking skills.

 Ability to clearly explain models and results to non-technical stakeholders.