Remote Natural Language Processing; NLP) Engineer

Our client is a trailblazer in AI & Emerging Technologies , seeking a skilled Remote Natural Language Processing (NLP) Engineer to contribute to their innovative projects. In this role, you will focus on designing, developing, and deploying NLP models and applications that enable sophisticated understanding and generation of human language. You will work remotely, collaborating with a distributed team of data scientists, engineers, and product managers to enhance chatbots, text analytics tools, sentiment analysis systems, and more.

Your contributions will be vital in building intelligent systems that can effectively process and interact with textual data, driving the company's advancements in conversational AI and language understanding.

• Develop and implement NLP models for tasks such as text classification, named entity recognition, sentiment analysis, and machine translation.
• Utilize deep learning frameworks (e.g., Transformers, BERT, GPT) to build state-of-the-...
• Process and analyze large volumes of text data, ensuring data quality and preprocessing for model training.
• Collaborate with software engineers to integrate NLP models into production applications and APIs.
• Evaluate and fine-tune NLP models to improve performance, accuracy, and efficiency.
• Stay current with the latest research and trends in NLP and language technologies.

• Master's or PhD in Computer Science, Computational Linguistics, or a related field with a specialization in NLP.
• 3+ years of experience in developing and deploying NLP models and applications.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, Spa Cy, Hugging Face Transformers).
• Strong experience with deep learning frameworks like Tensor Flow or PyTorch.
• Familiarity with text data preprocessing, feature extraction techniques, and evaluation metrics.
• Excellent problem-solving skills and the ability to work effectively in a fully remote team environment.

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible remote working hours.
• Professional development budget for continuous learning and skill enhancement.
• Opportunity to work on impactful NLP projects and influence the direction of AI language technologies.
• Supportive and collaborative remote team culture.