Natural Language Processing Engineer

🔧 What You’ll Be Working On:
✔️ Developing and deploying NLP models for text classification, entity recognition, sentiment analysis, and more
✔️ Implementing transformer-based architectures (e.g., BERT, GPT, RoBERTa) for language understanding and generation
✔️ Designing and optimizing machine learning pipelines for natural language processing tasks
✔️ Collaborating with cross-functional teams to integrate NLP solutions into real-world applications
✔️ Researching and implementing cutting-edge advancements in NLP, such as transfer learning and multi-modal systems
✔️ Continuously improving model performance, accuracy, and scalability

🎯 What We’re Looking For:
✔️ Strong experience in NLP, deep learning, and machine learning techniques
✔️ Expertise in Python and NLP libraries such as Hugging Face, spaCy, NLTK, or Gensim
✔️ Familiarity with deep learning frameworks like PyTorch or TensorFlow
✔️ Knowledge of state-of-the-art NLP techniques and algorithms, including transformers, attention mechanisms, and word embeddings
✔️ Ability to work with large-scale textual data and implement solutions for practical applications
✔️ MSc or PhD in Computer Science, Linguistics, AI, or related field preferred