Machine Learning Engineer (Remote or Relocation to Montenegro)

• 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 organisation.

• Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring.

• 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

• 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 (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP).

• Quarterly bonuses based on Company performance

• Generous relocation package for the employee and their immediate family

• 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

Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested. Originally posted on Himalayas