Natural Language Processing (NLP) Engineer

• Data Preparation : Collect, preprocess, and annotate large datasets to train and evaluate NLP models.

• Algorithm Design : Develop and implement algorithms for information retrieval, semantic search, and natural language understanding.

• Deployment : Integrate NLP solutions into production systems and ensure scalability and performance.

• Research and Innovation : Stay updated on the latest advancements in NLP, including transformer-based architectures (e.g., BERT, GPT).

• Collaboration : Work closely with data scientists, software engineers, and business stakeholders to deliver impactful solutions.

• Education : Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (PhD is a plus).

• Experience

• :

• Proven experience in NLP, machine learning, and deep learning.

• Hands-on experience with NLP frameworks and libraries, such as spaCy, Hugging Face, or NLTK.

• Programming Skills : Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).

• Foundational Knowledge : Strong understanding of text processing techniques, tokenization, parsing, and embeddings (e.g., word2vec, GloVe, BERT).

• Experience with transformer models (e.g., BERT, GPT, RoBERTa).

• Familiarity with speech-to-text and text-to-speech technologies.

• Knowledge of MLOps for managing NLP pipelines.

• Exposure to domain-specific applications, such as healthcare, finance, or e-commerce NLP.

• Strong analytical and problem-solving skills.

• Excellent communication and teamwork abilities.

• Passion for building intelligent language-based solutions.

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