Natural Language Processing Engineer - Hyderabad

Key Skills

1. Programming Languages:
   
• Proficiency in Python (preferred) and familiarity with libraries like NumPy, Pandas, and Matplotlib.
• Basic knowledge of C++ or Java for integrating models into production.
2. NLP Libraries and Frameworks:
   
• Expertise in NLTK, SpaCy, Hugging Face Transformers, and Gensim.
• Familiarity with OpenNLP or Stanford CoreNLP.
3. Deep Learning Frameworks:
   
• Experience with TensorFlow, PyTorch, or Keras for building advanced models.
4. Machine Learning Knowledge:
   
• Understanding of algorithms like logistic regression, SVMs, and neural networks.
• Expertise in advanced architectures (e.g., RNNs, LSTMs, Transformers).
5. Linguistics:
   
• Basic knowledge of syntax, semantics, and morphology in natural language.
6. Data Handling:
   
• Experience with data cleaning, feature extraction, and managing large datasets.
• Familiarity with databases (SQL) and distributed data systems (Hadoop, Spark).
7. Problem Solving:
   
• Ability to handle challenges like language ambiguity, domain adaptation, and dataset sparsity.

Tools and Technologies

• NLP Libraries: NLTK, SpaCy, Hugging Face, Gensim
• Deep Learning Frameworks: TensorFlow, PyTorch
• Text Vectorization Tools: Word2Vec, GloVe, FastText
• Cloud Platforms: AWS, Google Cloud (NLP APIs), Azure Cognitive Services
• Version Control: Git, GitHub
• Visualization Tools: Matplotlib, Seaborn, Plotly