Text copied to clipboard!
Title
Text copied to clipboard!NLP Engineer
Description
Text copied to clipboard!
We are looking for an NLP Engineer to join our team and help build intelligent systems that can understand, interpret, and generate human language. As an NLP Engineer, you will work on cutting-edge language technologies, including natural language understanding (NLU), natural language generation (NLG), speech recognition, and machine translation. You will collaborate with data scientists, software engineers, and product managers to design and implement scalable NLP solutions that enhance user experiences and drive business value.
Your role will involve researching and applying state-of-the-art NLP techniques, developing and training machine learning models, and deploying them into production environments. You will also be responsible for preprocessing large datasets, evaluating model performance, and continuously improving system accuracy and efficiency. A strong background in linguistics, computer science, and machine learning is essential for success in this role.
We value innovation, creativity, and a passion for language technologies. If you are excited about building systems that bridge the gap between humans and machines through language, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Design and develop NLP models for various language tasks
- Preprocess and clean large text datasets
- Train, evaluate, and fine-tune machine learning models
- Collaborate with cross-functional teams to integrate NLP solutions
- Conduct research on the latest NLP advancements
- Deploy NLP models into production environments
- Monitor and improve model performance over time
- Build tools and pipelines for text processing and analysis
- Document methodologies and maintain code repositories
- Ensure scalability and efficiency of 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 and relevant libraries (e.g., NLTK, spaCy, Transformers)
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Understanding of NLP concepts like tokenization, POS tagging, parsing, and embeddings
- Familiarity with deep learning architectures (e.g., RNNs, LSTMs, Transformers)
- Experience working with large-scale datasets and data pipelines
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) is a plus
- Experience with REST APIs and deploying ML models in production
Potential interview questions
Text copied to clipboard!- What NLP projects have you worked on in the past?
- How do you approach preprocessing large text datasets?
- Which NLP libraries and tools are you most comfortable with?
- Can you describe a time you improved model performance?
- How do you stay updated with the latest NLP research?
- What challenges have you faced when deploying NLP models?
- Describe your experience with deep learning architectures for NLP.
- How do you evaluate the accuracy of an NLP model?
- What is your experience with cloud-based NLP services?
- How do you ensure the scalability of your NLP solutions?
