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 Senior 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.
Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling and implementing large language models.
Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation.
Mentor a team of ML engineers, helping them to enhance their skills and understanding of machine learning methodologies and best practices.
Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring.
Requirements
Key Skills Required
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
Benefits
We Offer
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
21 working days of annual leave plus 14 days public holidays
Excellent training and development opportunities
Fun and friendly professional environment
Rapidly expanding global footprint