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23 часа назад

Data Scientist / ML Engineer (AI)

3 425 - 5 400
Формат работы
remote (Global)/hybrid/onsite
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

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TL;DR

Data Scientist / ML Engineer (AI): Developing AI-powered safety solutions including liveness detection, fraud prevention, and audio analysis for high-load digital platforms with an accent on scalable ML systems. Focus on designing CV models, building NLP pipelines, and deploying RAG and LLM-based reasoning systems.

Location: Worldwide (Remote, Hybrid, or Onsite)

Salary: €3,425–€5,400 per month (gross)

Company

hirify.global is a pre-IPO software development company that has provided full-cycle digital services for over 19 years.

What you will do

  • Design and deploy CV models for liveness detection and anti-spoofing.
  • Build NLP pipelines for behavioral signal extraction and incident analysis.
  • Manage the full ML lifecycle, including data annotation, training, deployment, and monitoring.
  • Develop and maintain fraud and abuse detection systems and safety scoring models.
  • Integrate ML models with backend services and mobile infrastructure.
  • Collaborate with the product team to define and validate hypotheses.

Requirements

  • 5+ years of experience in DS/ML with a strong focus on the modern AI stack.
  • Hands-on experience with RAG systems, vector databases, and embedding models.
  • Practical LLM experience involving fine-tuning, system-level prompt engineering, and evaluation.
  • Experience with audio/speech processing (ASR, speaker diarization, or conversation analysis).
  • Proficiency in Python and core DS/ML libraries.
  • English: Intermediate+ required

Nice to have

  • Understanding of safety, risk, or compliance contexts.

Culture & Benefits

  • Flexible work arrangements: fully remote, hybrid, or office-based.
  • Professional and financial growth supported by mentoring and adaptation systems.
  • Access to a corporate training portal and compensation for certifications (AWS, PMP, etc.).
  • Private health insurance and compensation for sports activities.
  • Vibrant corporate life with team events, referral programs, and a collaborative environment.

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