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11 дней назад

Senior Machine Learning / NLP (Contractor)

Формат работы
remote (только Spain)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Machine Learning / NLP Engineer (Generative AI and Finance): Designing, evaluating, and deploying advanced NLP models that enhance a high-throughput financial data detection pipeline with an accent on transformer architectures, entity resolution, and production integration. Focus on building continuous learning systems, optimizing low-latency inference at scale, and establishing rigorous evaluation and monitoring frameworks.

Location: Fully remote, with role locations listed as Marbella or Madrid, Spain. European legal working status is required.

Company

hirify.global develops big data analytics, generative AI, and SaaS services for financial professionals.

What you will do

  • Design, train, evaluate, and deploy advanced NLP and machine learning models for a large-scale, high-precision detection pipeline.
  • Build integration layers connecting new ML predictions with established production systems.
  • Develop automated feedback loops and continuous learning mechanisms that improve model performance with minimal manual intervention.
  • Move models from research and evaluation into production, optimizing them for low-latency inference and high reliability.
  • Create evaluation benchmarks, automated testing harnesses, monitoring dashboards, and performance metrics for ML implementations.

Requirements

  • Deep theoretical and practical knowledge of NLP tasks including entity extraction, text classification, and contextual understanding.
  • Proven experience training, fine-tuning, and deploying transformer-based models and encoding methods.
  • Experience optimizing and deploying models at scale in low-latency environments, including batch inference, model distillation, or hardware acceleration.
  • Expertise in evaluation frameworks, gold-standard datasets, performance metrics, and edge-case analysis.
  • Experience integrating probabilistic ML models with deterministic or legacy architectures, including confidence scoring and A/B testing rollouts.
  • Strong software engineering skills, including clean scalable code, technical documentation, and CI/CD pipelines for ML models.

Culture & Benefits

  • Work on generative AI tools and SaaS services for the finance industry.
  • Collaborate with core engineering, data, and technical leadership teams.
  • Work on proprietary systems; detailed architecture and deliverables are discussed under an NDA during the first interview.
  • Contractor engagement.

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