Nlp Software Engineer

About the Role

We are seeking a skilled and innovative NLP Engineer to design, develop, and deploy natural language processing models and applications. The ideal candidate will have strong expertise in machine learning, linguistics, and software engineering to build scalable solutions that understand, interpret, and generate human language across various domains.

Key Responsibilities

• Design, develop, and implement NLP models and algorithms for text processing, classification, sentiment analysis, entity recognition, question answering, summarization, and more.
• Preprocess and analyze large volumes of unstructured text data using tokenization, parsing, stemming, lemmatization, and embedding techniques.
• Fine-tune and deploy pre-trained language models such as BERT, GPT, RoBERTa, or other transformer-based architectures.
• Collaborate with data scientists, software engineers, and product teams to integrate NLP capabilities into applications and services.
• Optimize NLP models for performance, scalability, and real-time inference.
• Conduct research on state-of-the-art NLP techniques and stay updated with academic and industry trends.
• Prepare and maintain technical documentation and reports.
• Participate in code reviews, testing, and model evaluation to ensure quality and robustness.
• Work with cloud platforms and containerization tools for deployment (AWS, GCP, Azure, Docker, Kubernetes).

Qualifications

• Bachelors or Master’s degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related field.
• 2+ years of experience in developing NLP models or working on natural language processing projects.
• Strong programming skills in Python, with proficiency in libraries like NLTK, SpaCy, Transformers (Hugging Face), TensorFlow, PyTorch.
• Experience with machine learning and deep learning techniques applied to NLP tasks.
• Familiarity with text embedding methods such as Word2Vec, GloVe, FastText, or contextual embeddings.
• Understanding of linguistic concepts such as syntax, semantics, and pragmatics.
• Knowledge of evaluation metrics for NLP models (accuracy, F1, BLEU, ROUGE, perplexity).
• Experience with data cleaning, feature engineering, and handling large datasets.

Preferred Skills

• Experience with cloud-based ML platforms (AWS SageMaker, Google AI Platform, Azure ML).
• Familiarity with transformer architectures and recent advances in NLP research.
• Background in information retrieval, dialogue systems, or speech processing is a plus.
• Experience in deploying models using REST APIs or microservices architecture.
• Knowledge of container orchestration (Docker, Kubernetes).
• Publications or contributions to NLP conferences/journals or open-source projects are a bonus.

Soft Skills

• Strong analytical and problem-solving mindset.
• Effective communication and teamwork skills.
• Self-motivated with a passion for research and innovation.
• Detail-oriented and quality-focused.
• Ability to manage multiple projects and priorities in a dynamic environment.