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:

1. Design, develop, and deploy NLP models and algorithms to solve complex language-related problems.

2. Work with large datasets to train and test NLP models, and evaluate their performance.

3. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate NLP solutions into larger products and systems.

4. Stay up-to-date with the latest advancements in NLP research and technologies, and apply this knowledge to improve our NLP solutions.

5. Develop and maintain technical documentation for NLP models and systems.

6. Troubleshoot and resolve technical issues related to NLP systems.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.

2. 3+ years of experience in NLP, with a strong background in machine learning and deep learning.

3. Experience with NLP libraries and frameworks, such as NLTK, spaCy, or Stanford CoreNLP.

4. Strong programming skills in languages such as Python, Java, or C++.

5. Experience with cloud-based platforms, such as AWS or Google Cloud.

6. Excellent problem-solving skills and attention to detail.