
Machine Learning Engineer (Remote or Relocation to Montenegro)
- Казахстан
- Постоянная работа
- Полная занятость
- 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
- Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation.
- Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring.
- Implement new and support existing LLM projects (chatbots, knowledge base etc).
- Great understanding of business and where ML solutions can fit and bring value
- Technological stack - Python, PyTorch,, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, EC2, EKS, EMR), Docker, FastApi, Kafka, Airflow
- Establishing and maintaining MLOps practices, including version control for models, automated testing, and CI/CD for ML systems
- Utilise AWS ML (or similar) services 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 is a huge plus (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP)
- Work in a pleasant and enjoyable environment near the Adriatic sea or mountains
- Quarterly bonuses based on Company performance
- Generous relocation package for the employee and their immediate family/partner
- Medical Insurance Plan with coverage for the employee and their immediate family from day one
- 24 working days of annual leave
- Yearly reimbursement of travel expenses for the employee and family's flight home
- Corporate events and team building activities
- Udemy Business unlimited membership & language training courses
- Professional and personal development opportunities in a fast-growing environment