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Develop and implement NLP models and algorithms for text processing and language understanding.

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Work on text classification, sentiment analysis, named entity recognition (NER), and text summarization.

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Perform text preprocessing, tokenization, stemming, lemmatization, and feature extraction.

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Build and evaluate machine learning and deep learning models for NLP applications.

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Work with NLP libraries such as NLTK, spaCy, Hugging Face Transformers, and Gensim.

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Develop solutions using Large Language Models (LLMs), where applicable.

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Work with transformer architectures such as BERT and other relevant language models.

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Collect, clean, analyze, and prepare textual datasets for model training.

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Evaluate model performance and improve accuracy, efficiency, and scalability.

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Collaborate with data scientists, ML engineers, and software developers to integrate NLP models into applications.

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Deploy and maintain NLP solutions using APIs and cloud platforms.

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Document workflows, experiments, and model performance.

Requirements

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Robust programming knowledge of Python.

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Understanding of Natural Language Processing (NLP) concepts.

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Knowledge of machine learning and deep learning fundamentals.

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Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers.

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Understanding of text preprocessing, tokenization, and vectorization techniques.

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Knowledge of neural networks and transformer-based models.

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Familiarity with NumPy, Pandas, and Scikit-learn.

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Basic understanding of SQL and data handling.

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Knowledge of model evaluation techniques and performance metrics.

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Strong analytical, problem-solving, and communication skills.

📌 NLP Engineer (Noida)
🏢 Leading
📍 Noida