The Skills Needed to Join Us

• 7+ years of experience in Machine Learning or Data Science, including at least 2–3 years leading ML or Data Science teams.
• Proven experience designing, developing, and deploying ML models that directly improve commercial or business performance.
• Hands-on experience with recommendation systems, personalization, propensity modeling, churn prediction, customer segmentation, uplift modeling, or similar commercial ML use cases.
• Strong understanding of modern machine learning algorithms, model evaluation techniques, and feature engineering best practices.
• Excellent Python skills and hands-on experience with major ML frameworks such as scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, and/or PyTorch.
• Strong SQL skills and experience working with large-scale datasets.
• Experience building production-grade ML systems and solid understanding of MLOps practices, including CI/CD, model versioning, monitoring, and model registries.
• Experience with cloud platforms and distributed computing frameworks is a plus.
• Strong ability to translate business objectives into technical solutions and estimate expected business impact.
• Demonstrated experience leading teams, mentoring data scientists, and collaborating with cross-functional stakeholders.
• English proficiency sufficient for reading technical documentation and collaborating with international teams.

Nice to Have

• Experience in banking, fintech, telecommunications, or e-commerce serving millions of customers.
• Hands-on experience implementing Recommendation Systems, Reinforcement Learning, or Generative AI for commercial applications.
• Experience building real-time inference systems and event-driven architectures.
• Understanding of ML product economics, model ROI evaluation, and value measurement.
• Experience defining ML strategy and building a Machine Learning function from the ground up.

Working with us means

• An open atmosphere and vibrant team life without unnecessary bureaucracy or dress code
• Medical insurance with extended coverage after the probation period
• Coverage for conference participation, discounts for English language courses and access to educational platforms (Coursera, Udemy)
• Internal meetups: lightning & thunder talks
• Class “A” office in the city center
• A multicultural team (Georgia, Russia, Poland, Kazakhstan, Kyrgyzstan, Ukraine, Tajikistan)
• Team-building and sports events that foster team spirit.

Join us and help transform how millions experience finances across Central Asia.