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13 дней назад

Senior Machine Learning Engineer (Player Safety)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
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 Machine Learning Engineer (Player Safety): Building and deploying scalable machine learning systems that protect players through NLP, anomaly detection, graph learning, and LLMs with an accent on production-grade model development and MLOps. Focus on adapting state-of-the-art research, delivering monitored prediction pipelines, and solving complex trust and safety problems at scale.

Location: Office-based in Saint-Mandé, France

Company

hirify.global is a global gaming company creating interactive entertainment experiences across international teams and major game franchises.

What you will do

  • Design, train, deploy, and monitor machine learning models for player safety and security use cases.
  • Develop solutions spanning NLP, anomaly detection, graph-based learning, transformer models, and large language models.
  • Adapt state-of-the-art deep learning and graph learning research to production constraints.
  • Own projects end to end by working with stakeholders, defining success metrics, monitoring live systems, and iterating.
  • Write, optimise, test, and ship scalable code using CI/CD, model versioning, and observability practices.
  • Collaborate with data and software engineers to deliver production prediction pipelines on internal or public cloud infrastructure.

Requirements

  • Strong Python software engineering skills, including clean code, testing, documentation, and CI/CD.
  • Proven experience deploying and monitoring production machine learning models, including model serving and drift monitoring.
  • Hands-on experience with NLP and LLMs, including transformer fine-tuning, prompt engineering, RAG, or LLM-based pipelines.
  • Experience with anomaly detection or fraud, trust, and safety systems in production.
  • Experience with distributed data processing using Spark and cloud data platforms.
  • English is mandatory for presentations, cross-team collaboration, and reporting.

Nice to have

  • Experience with graph-based machine learning and GNNs.
  • Familiarity with Databricks, Delta Live Tables, or Azure-specific services.
  • Experience with token classification, NER, sequence labelling, node classification, link prediction, or graph construction pipelines.

Culture & Benefits

  • Permanent, full-time, office-based employment.
  • Profit sharing and a yearly company savings plan.
  • 25 paid time-off days and 12 additional paid days off.
  • 50% of the transportation pass covered and €9-per-day lunch vouchers.
  • Healthcare coverage for employees and families, parental leave, and access to an on-site gym.

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