NLP Engineer – Multilingual Systems

About the role

Responsibilities

• Build and fine-tune multilingual classification and extraction models
• Design language detection and routing pipelines
• Evaluate model performance per language and identify gaps
• Collaborate with annotation teams on training data quality
• Document model behaviour and limitations for client teams

Requirements

• Strong experience with multilingual NLP (cross-lingual models, mBERT, XLM-R)
• Python and Hugging Face Transformers
• Experience with text classification, NER, or intent detection at scale
• Familiarity with translation pipelines and language detection
• Able to evaluate model performance across language pairs

Benefits

• Interesting multilingual NLP challenge
• Full remote
• Competitive salary
• Conference budget
• Small, expert team

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