Machine Learning Engineer

Libertex Group Overview

Established in 1997, the Libertex Group is an international powerhouse with over 25 years of financial markets expertise. Over the years, the Libertex Group has helped shape the online trading industry by merging together innovative technology, market movements and digital trends. This was made possible with the introduction of Libertex, the multi-awarded online trading platform with which anyone can access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others.

Libertex is the Official Online Trading Partner of FC Bayern, bringing the exciting worlds of football and trading together.

The Libertex Group in Numbers:

• 25+ Years of fintech experience
• 3M+ clients worldwide
• 700+ employees
• 40+ international awards (for Libertex)
• 300+ tradable assets (through Libertex)

The Libertex Group is constantly driven by a single passionate purpose – to tirelessly work on developing amazing fintech for people who simply want to have ‘more’ in their lives.

Job Overview

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

What Will You Do?

• 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 to help the company achieve strategic KPIs
• Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling and implementing large language models to improve marketing campaigns performance and lower marketing costs
• Oversee current solutions, manage improvements if needed, and expand the role of machine learning across the organisation to expand the data-driven approach across the whole company
• Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring to improve the quality of ML solutions, increase explainability and better understand the business impact of ML projects

Requirements

• Great understanding of business and where ML solutions can fit and bring value
• Technological stack - Python, PyTorch, PySpark, SQL (MSSQL, Postgres), ClickHouse, AWS (EC2, EKS, EMR), Docker, Kafka, ELK, 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 (OpenAI, AWS Bedrock, langchain)

Benefits

• Work in a dynamic and fast-paced international company
• Relocation to the beautiful Podgorica, Montenegro
• Competitive salary in euro or crypto
• Comprehensive medical insurance for all family members
• Annual reimbursement of flight home for employee and family
• 24 working days of annual leave plus Montenegrin public holidays
• Excellent training and development opportunities
• Fun and friendly professional environment
• Rapidly expanding global footprint