Develop advanced machine learning models, deploy to production environments, and optimize for mobile devices. Must have strong mathematical foundations and experience with ML architectures. Fluency in Russian language required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Your primary focus will be developing advanced models based on strong mathematical foundations, with the versatility to adapt and optimize your research for mobile environments.
We offer remote work within the European Economic Area (and some other countries) or in-office opportunities in Limassol, Cyprus. Full relocation support to Cyprus is available for those who prefer office work.
Must Have
- Education: Master's degree in Computer Science, Applied Math, Physics, or equivalent.
- Theory: Deep understanding of modern ML architectures (Transformers, Neural Networks).
- Practice: Proven experience deploying models to production environments.
- Fluency in Russian language
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Strong Plus
- Mobile Deployment: Native iOS (CoreML) and Android (TFLite/ONNX) experience.
- Optimization: Practical expertise in QAT, pruning, and distillation.
- Domain Specialization: Background in LLM fine-tuning, Recommender Systems, or Reinforcement Learning.
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Nice to Have
- Systems Code: Familiarity with C++, Swift, or Kotlin.
- MLOps: Setting up pipelines for versioning and automation (e.g., MLflow, GitHub Actions).
- Agent Frameworks: Experience with LangChain or LangGraph.
Mindset
- Production-First: Prioritizes clean, modular code over messy notebooks.
- High-Agency: Delivers tested, deployment-ready work without needing supervision.
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