Machine Learning Engineer (Remote or Relocation to Montenegro)

Libertex Group Overview 

Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. 

The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others.

A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of KICK Sauber F1 Team.

We build innovative fintech so people can #TradeForMore with Libertex.

Job Overview 

We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions.

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
• 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)