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обновлено 6 дней назад

Data Scientist / ML Engineer (AI)

3 425 - 5 400€
Формат работы
remote (Global)/onsite/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b1
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Data Scientist / ML Engineer (AI): Building and deploying AI-powered safety solutions for high-load digital platforms with an accent on computer vision, NLP, audio analysis, fraud detection, and scalable ML systems. Focus on designing production ML pipelines, integrating LLM and audio models, and solving complex challenges across model lifecycle management, monitoring, and system architecture.

Location: Worldwide; fully remote, office-based, or hybrid work options are available.

Salary: EUR 3,425–5,400 gross per month, depending on experience, location, and professional growth.

Company

hirify.global is a pre-IPO software development company providing full-cycle digital solution services to enterprise and mid-sized clients.

What you will do

  • Design and deploy computer vision models for liveness detection and anti-spoofing.
  • Build NLP pipelines for behavioral signal extraction and incident analysis.
  • Own the ML lifecycle, including data annotation, training, deployment, and monitoring.
  • Develop fraud and abuse detection systems and contribute to safety scoring using behavioral and historical data.
  • Integrate ML models with backend services and mobile infrastructure in a high-load production environment.
  • Participate in architecture discussions and collaborate with product teams on hypothesis definition and validation.

Requirements

  • 5+ years of experience in data science and machine learning with a strong focus on modern AI technologies.
  • Hands-on experience with RAG systems, vector databases, embedding models, and semantic search.
  • Practical experience with LLM fine-tuning, system-level prompt engineering, and LLM evaluation.
  • Experience with audio and speech processing, such as ASR, speaker diarization, audio event detection, or conversation analysis.
  • Experience deploying and monitoring LLM and audio models in production, including streaming and asynchronous data pipelines.
  • Strong Python and core data science/machine learning library skills; English at Intermediate level or above is required.

Nice to have

  • Understanding of safety, risk, or compliance contexts.

Culture & Benefits

  • Work with leaders and clients across FinTech, Healthcare, Retail, Telecom, and other industries.
  • Opportunity to change projects and develop expertise in different business domains.
  • Mentoring, onboarding, professional training, and career development programs.
  • Up to an additional USD 1,000 per month depending on expertise, included in the annual bonus.
  • Corporate training portal, certification compensation, private health insurance, and sports activity compensation.
  • Referral program and corporate social activities.

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