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

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

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

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

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

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

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

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

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

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





• Deploy and maintain NLP solutions using APIs and cloud platforms.

• Document workflows, experiments, and model performance.

Requirements
• Strong programming knowledge of Python.

• Understanding of Natural Language Processing (NLP) concepts.

• Knowledge of machine learning and deep learning fundamentals.

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

• Understanding of text preprocessing, tokenization, and vectorization techniques.

• Knowledge of neural networks and transformer-based models.

• Familiarity with NumPy, Pandas, and Scikit-learn.

• Basic understanding of SQL and data handling.

• Knowledge of model evaluation techniques and performance metrics.

• Robust analytical, problem-solving, and communication skills.

📌 NLP Engineer (Noida)
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