Natural Language Processing

Job Overview

As an NLP Engineer, you will play a key role in designing, developing, and deploying NLP solutions that enable machines to understand and generate human language.

Key Responsibilities

• Design, develop, and deploy NLP models and algorithms to solve complex language-related problems.
• Work with large datasets to train and test NLP models, and evaluate their performance.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate NLP solutions into larger products and systems.
• Stay up-to-date with the latest advancements in NLP research and technologies, and apply this knowledge to improve our NLP solutions.
• Develop and maintain technical documentation for NLP models and systems.
• Troubleshoot and resolve technical issues related to NLP systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
• 3+ years of experience in NLP, with a strong background in machine learning and deep learning.
• Experience with NLP libraries and frameworks, such as NLTK, spaCy, or Stanford CoreNLP.
• Strong programming skills in languages such as Python, Java, or C++ .
• Experience with cloud-based platforms, such as AWS or Google Cloud.
• Excellent problem-solving skills and attention to detail.