Senior Machine Learning Engineer

Responsibilities:

• Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions.
• Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications (AI agents, chatbots, MCP).
• Oversee current solutions, manage improvements if needed, expand the role of machine learning across the organization.
• Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring.

Requirements

• Great understanding of business and where ML solutions can fit and bring value.
• Technological stack: Python, PyTorch, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, Bedrock, EC2, EKS), Docker, FastApi, Kafka, Airflow.
• Establishing and maintaining MLOps practices, including version control for models, automated testing, and CI/CD for ML systems.
• Utilize AWS ML services (or similar) for developing and deploying models.
• General understanding of IT infrastructure, various data source types, development processes, etc.
• Great to have previous experience in applying data science tools to mobile apps, gaming, or fintech.
• Intermediate level of English.
• Experience with LLMs (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP).