Senior Machine Learning Engineer (AI Agent)

Responsibilities

Responsible for analysing and understanding of the massive structured and unstructured data by NLP tasks, such as data processing, NER, relationship extraction, NOR etc.

Own and improve our information-extraction pipeline, from model to production

Solve document-level extraction at scale — design how we handle long documents where entities, properties, and their relationships span across sections

Independently drive algorithm optimization, develop and fine-tune models to meet business requirements.

Build hybrid systems combining NER, rule-based methods, and LLMs, applying each where it genuinely wins

Define evaluation methodology / annotation strategy / quality metrics with domain experts

Process and extract from large-scale corpora reliably and efficiently

Qualifications

Master or Bachelor degree in Computer Science or related field.

4+ years of hands-on NLP/ML engineering in production, owning model or pipeline quality

Proven experience with long-document / document-level information extraction and normalization

Solid engineering fundamentals from working at scale

Strong in NER, entity methodology; across rule-based, statistical, and LLM-based methods

Experience in vibe coding and solid coding skills.