Data Scientist / ML Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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