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Title
Text copied to clipboard!Natural Language Processing NLP Engineer
Description
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We are looking for a Natural Language Processing (NLP) Engineer to join our growing AI and machine learning team. As an NLP Engineer, you will be responsible for designing, developing, and deploying advanced language models and algorithms 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 systems that power chatbots, voice assistants, sentiment analysis tools, and other language-based applications.
Your role will involve working with large datasets, training and fine-tuning machine learning models, and implementing state-of-the-art NLP techniques such as named entity recognition, part-of-speech tagging, syntactic parsing, and semantic analysis. You will also be expected to stay up to date with the latest research in NLP and apply cutting-edge methods to solve real-world problems.
The ideal candidate has a strong background in computer science, machine learning, and linguistics, with hands-on experience in natural language processing. You should be proficient in programming languages such as Python and familiar with NLP libraries like spaCy, NLTK, Hugging Face Transformers, and TensorFlow or PyTorch. Experience with cloud platforms and deploying models in production environments is a plus.
This is an exciting opportunity to work on innovative projects that have a direct impact on how users interact with technology. 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 text datasets
- Train and fine-tune machine learning models for language tasks
- Evaluate model performance and optimize for accuracy and efficiency
- Collaborate with cross-functional teams to integrate NLP solutions
- Stay current with the latest NLP research and technologies
- Develop tools and pipelines for text analysis and processing
- Deploy NLP models into production environments
- Document methodologies and maintain code repositories
- Support and improve existing NLP systems
Requirements
Text copied to clipboard!- Bachelor’s or Master’s degree in Computer Science, Linguistics, or related field
- Strong programming skills in Python
- Experience with NLP libraries such as spaCy, NLTK, or Hugging Face
- Familiarity with machine learning frameworks like TensorFlow or PyTorch
- Understanding of linguistic concepts and text processing techniques
- Experience working with large datasets and data pipelines
- Knowledge of deep learning techniques for NLP
- Ability to read and implement academic research papers
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
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 and cleaning text data?
- Can you describe a time you deployed an NLP model to production?
- What is your experience with transformer-based models?
- How do you stay updated with the latest NLP research?
- Have you worked with multilingual or low-resource language data?
- What challenges have you faced in NLP model development?
- How do you evaluate the performance of an NLP model?
- What is your experience with cloud platforms for model deployment?
