Your responsibilities: Build and deploy ML models (incl. time-series, anomaly detection, NLP, GenAI, deep learning). Perform data analysis, preprocessing, and statistical modeling. Design end-to-end data pipelines and data warehouse solutions (e.g., Snowflake). Implement cloud-based infrastructure and MLOps practices (AWS, Docker, Kubernetes, CI/CD). Automate infrastructure provisioning using Terraform/IaC. Create visualizations and simple apps (Streamlit/Posit/Tableau). Contribute to solution architecture and troubleshoot across the stack. We are looking for you, if you have: Strong Python skills; experience with Kedro is a plus. Solid understanding of statistics, probability, and optimization. Experience with AWS, containerization, Kubernetes, CI/CD automation. Strong SQL and data engineering competencies. Familiarity with Agile (SCRUM/Kanban). Proactive problem-solver with clear communication skills. Business-level English proficiency. Nice to Have:Knowledge of financial processes.We offer: Participation in interesting and challenging projects. Flexible working hours. A great, non-corporate atmosphere. Opportunities for development and promotion. Attractive package of benefits. Remote work. We reserve the right to contact the selected candidates.