Senior NLP Engineer

About Behavox

Role overview

Responsibilities

• Develop communication assistance features and risk-detection capabilities using existing NLP technologies and AI solutions, including LLMs.
• Design, train, fine-tune, and evaluate NLP models, and move them from prototype to production with MLOps and engineering.
• Design, develop, and maintain databases for NLP pipelines and develop a strategic blueprint for database deployment.
• Develop data administration policies, standards, and models; test data models and database management systems before and after release.
• Identify IT and data infrastructure improvements and implement practical changes.
• Document reporting needs, queries, logic, results, and recommendations for other information-systems professionals.
• Advise product and engineering teams, explain model behaviour to clients alongside the revenue team, and mentor engineers through Git workflows and code review.

Requirements

• Master’s degree in computer engineering or a related field, such as computer science, computational linguistics, or machine learning.
• At least 5 years of experience building NLP, data science, or machine-learning systems, including production-shipped solutions.
• English language ability.
• Hands-on experience with transformer models and LLMs, including fine-tuning, RAG, and embedding-based search.
• Experience with text classification, entity recognition, and relationship extraction.
• Experience building evaluation datasets and metrics, working with limited and imbalanced data, and explaining model behaviour to non-specialists.
• Experience designing, developing, and testing databases, data models, and database management systems.
• Strong Python; working knowledge of C, C++, Go, Java, and JavaScript; daily use of Git.
• The supplied description cuts off during a production-engineering skills statement.

Technical skills

• NLP and AI skills include transformer models, LLMs, fine-tuning, retrieval-augmented generation, embedding-based search, text classification, entity recognition, and relationship extraction.
• Data science skills include evaluation datasets and metrics, handling limited or imbalanced data, and interpreting model behaviour.
• Database skills include database design, data modelling, development, and testing.
• Programming skills include strong Python, working knowledge of C, C++, Go, Java, and JavaScript, and daily Git use.

Workplace

• The role is for the Behavox Toronto office.