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7 дней назад

Senior NLP Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior NLP Engineer (AI): Building production-grade information-extraction pipelines for material properties and quantitative measurements in patents and scientific literature with an accent on long-document extraction, NER, relationship extraction, and hybrid NLP systems. Focus on designing document-level algorithms, fine-tuning models, defining quality metrics, and reliably processing large-scale corpora.

Location: Singapore; on-site

Company

hirify.global is hiring for its SG – Material department to improve information extraction from patents and scientific literature.

What you will do

  • Own and improve the information-extraction pipeline from model development through production.
  • Design document-level extraction approaches for long documents where entities, material properties, and relationships span multiple sections.
  • Analyze and process large-scale structured and unstructured data using NLP tasks.
  • Build hybrid systems combining NER, rule-based methods, statistical methods, and LLMs.
  • Independently scope, prototype, optimize, and ship algorithmic improvements.
  • Define evaluation methodologies, annotation strategies, and quality metrics with domain experts.

Requirements

  • Bachelor’s or master’s degree in Computer Science or a related field.
  • 4+ years of hands-on NLP or ML engineering experience in production.
  • Experience owning model or pipeline quality and improving algorithms to meet business requirements.
  • Experience with long-document or document-level information extraction and normalization.
  • Strong knowledge of NER and entity methodology across rule-based, statistical, and LLM-based approaches.
  • Solid coding and engineering fundamentals, including experience working at scale.

Culture & Benefits

  • Full-time employment.
  • Hands-on senior role with end-to-end ownership of NLP and ML pipeline quality.
  • On-site work in Singapore.

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