Description:

Develop and deploy advanced NLP models and algorithms for various projects, including chatbots, virtual assistants, and data analysis.
Collect, preprocess, and annotate textual data to ensure data quality and relevance for training NLP models.
Train, evaluate, and optimize NLP models for performance, accuracy, and scalability.
Deploy NLP models into production environments and optimize their performance using distributed computing and GPU acceleration.
Adapt pre-trained language models to specific domains and fine-tune model parameters.
Identify and engineer features from raw textual data to enhance model performance.
Collaborate with cross-functional teams to deliver end-to-end NLP solutions.
Stay updated on the latest NLP research and technology to enhance solutions.

Requirements:

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
5+ years of experience in NLP engineering, focusing on developing and deploying NLP models.
Proficiency in Python and NLP libraries/frameworks like NLTK, spaCy, Transformers, or AllenNLP.
Strong understanding of NLP techniques, algorithms, and deep learning architectures.
Experience with cloud platforms, containerization, and orchestration technologies.
Excellent problem-solving skills, analytical thinking, and communication abilities.

Competitive salary ranging from $170,000 to $250,000 per year.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities, including training programs and conferences.
Access to cutting-edge technology tools and resources.
Inclusive company culture with growth opportunities.
Exciting projects with real-world impact in NLP innovation.