NLP Engineer

About the Role

We are seeking an NLP Engineer to design and deploy natural language understanding systems powering our core product.

Responsibilities

• Building and deploying text classification and entity extraction pipelines to enable accurate and efficient data processing.
• Developing and optimizing conversational AI models to improve user experience and engagement.
• Collaborating with the product team to understand product requirements and develop NLP features that meet these needs.
• Working closely with the data team to develop and deploy NLP-based data pipelines that support data-driven decision-making.
• Designing and implementing NLP-based solutions to address complex technical problems and improve overall system performance.
• Developing and maintaining NLP-based models and pipelines using Python, PyTorch, and Hugging Face Transformers.
• Staying up-to-date with the latest developments in NLP and deep learning, and applying this knowledge to improve our NLP solutions.

Requirements

• 3+ years in NLP/NLU
• MS in Computer Science or related field
• Proficiency in Python, PyTorch, and Hugging Face Transformers
• Experience with LLMs, fine-tuning, and prompt engineering
• Strong understanding of NLP concepts, including tokenization, stemming, lemmatization, and named entity recognition

Skills

• Proficiency in Python, PyTorch, and Hugging Face Transformers
• Experience with LLMs, fine-tuning, and prompt engineering
• Strong understanding of NLP concepts, including tokenization, stemming, lemmatization, and named entity recognition
• Ability to design and implement NLP-based solutions to address complex technical problems
• Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams
• Strong problem-solving skills, with the ability to analyze complex problems and develop effective solutions
• Ability to stay up-to-date with the latest developments in NLP and deep learning, and apply this knowledge to improve our NLP solutions