Data Scientist NLP & LLM

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. 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.