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Title
Text copied to clipboard!Natural Language Processing Engineer
Description
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We are looking for a Natural Language Processing Engineer to join our growing AI and machine learning team. As a Natural Language Processing (NLP) Engineer, you will be responsible for designing, developing, and deploying NLP models and systems that enable machines to understand, interpret, and generate human language. You will work closely with data scientists, software engineers, and product managers to build intelligent applications that leverage language data.
Your primary focus will be on developing algorithms and models that process natural language data, such as text and speech, and integrating these models into scalable software solutions. You will also be expected to stay up to date with the latest research in NLP and machine learning, and apply cutting-edge techniques to solve real-world problems.
Key areas of responsibility include text classification, sentiment analysis, named entity recognition, machine translation, question answering, and conversational AI. You will also be involved in data preprocessing, feature engineering, model training, evaluation, and optimization.
To succeed in this role, you should have a strong background in computer science, mathematics, or a related field, with experience in NLP, machine learning, and deep learning. Proficiency in programming languages such as Python, and familiarity with NLP libraries like spaCy, NLTK, Hugging Face Transformers, and TensorFlow or PyTorch is essential.
This is an exciting opportunity to work on innovative projects that have a direct impact on how users interact with technology through language. If you are passionate about language, AI, and building intelligent systems, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and implement NLP models and algorithms.
- Preprocess and clean large datasets of text and speech.
- Develop and maintain NLP pipelines for production systems.
- Collaborate with cross-functional teams to integrate NLP solutions.
- Evaluate model performance and optimize for accuracy and efficiency.
- Stay current with the latest NLP research and technologies.
- Build tools for text classification, sentiment analysis, and entity recognition.
- Develop conversational agents and chatbots.
- Work with cloud platforms to deploy scalable NLP services.
- Document processes and maintain code quality standards.
Requirements
Text copied to clipboard!- Bachelor’s or Master’s degree in Computer Science or related field.
- Strong understanding of NLP concepts and techniques.
- Experience with machine learning and deep learning frameworks.
- Proficiency in Python and NLP libraries (spaCy, NLTK, Hugging Face).
- Familiarity with TensorFlow or PyTorch.
- Experience with data preprocessing and feature engineering.
- Ability to work with large datasets and cloud platforms.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Knowledge of linguistics or computational linguistics is a plus.
Potential interview questions
Text copied to clipboard!- What NLP projects have you worked on in the past?
- Which NLP libraries and tools are you most comfortable with?
- How do you approach preprocessing of noisy text data?
- Can you describe a time you optimized an NLP model?
- What is your experience with deep learning in NLP?
- How do you stay updated with the latest NLP research?
- Have you deployed NLP models in production environments?
- What challenges have you faced in building NLP systems?
- How do you evaluate the performance of NLP models?
- What role does linguistics play in your NLP work?
