ML Engineer — NLP & Intent Detection

Role overview Improve the quality and speed of intent detection and confidence scoring in a production AI pipeline that processes a high volume of email responses. The work combines applied NLP and machine learning engineering, with a focus on classification models and evaluation at scale.

Responsibilities - Improve intent detection and confidence scoring models. - Help increase the accuracy and speed of the NLP pipeline. - Fine-tune or evaluate large language models for the task. - Work with production data at scale to develop and assess model performance. - Contribute to a multi-class text classification system.

Requirements - At least three years of experience in ML engineering or applied NLP research. - Strong Python skills. - Familiarity with PyTorch or JAX. - Experience fine-tuning or evaluating large language models. - Understanding of multi-class text classification. - Comfort working with large-scale production data.

Benefits and work setup Full-time position based in Warsaw or remote within the EU. The role works directly with technical leadership on an AI pipeline handling more than 18 million email responses annually.