Natural Language Processing (NLP) Engineer - Remote

Overview

The Natural Language Processing (NLP) Engineer will develop and implement advanced language models to enhance the organization's capabilities in understanding, processing, and generating human language.

In Short

• Design, build, and implement NLP models and algorithms.
• Develop pipelines for data cleaning and preprocessing.
• Identify and engineer relevant features from text data.
• Train, fine-tune, and evaluate NLP models.
• Collaborate with data scientists and software developers.
• Stay current with advancements in NLP research.
• Deploy and maintain NLP models in production environments.
• Monitor the performance of deployed models.
• Document development processes and outcomes.

Requirements

• Bachelor’s or Master’s degree in a related field.
• 2+ years of experience in NLP or machine learning.
• Hands-on experience with NLP libraries and frameworks.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Proficiency in programming languages such as Python or R.
• Strong understanding of NLP tasks.
• Knowledge of traditional and modern machine learning models.
• Experience with cloud platforms for deploying NLP models.
• Strong problem-solving skills.
• Ability to communicate technical concepts clearly.

Benefits

• Opportunity to work on innovative NLP solutions.
• Collaborative work environment with cross-functional teams.
• Access to the latest advancements in NLP research.
• Professional development opportunities.
• Flexible working arrangements.