Machine Learning Engineer

Join FxPro : a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace. At FxPro , we see each team member as an integral part of our success story.

As a Machine Learning Engineer you will develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts.

Responsibilities:

• Develop and deploy machine learning models for trader profiling and other business applications
• Collect, clean, and preprocess large datasets, applying feature engineering and transformation techniques
• Monitor model performance in production and retrain models as needed
• Integrate models into operational systems, ensuring scalability, security, and optimal performance
• Collaborate with cross-functional teams to align model development with business needs
Continuously optimize models and stay current with the latest advancements in ML research

Requirements:

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related field, or equivalent practical experience
• 3+ years of experience in machine learning, with a proven track record of developing and deploying models in production
• Strong understanding of mathematical statistics and probability theory
• Proficiency in Python and machine learning libraries (e.g., pandas, NumPy, Scikit-Learn)
• Solid understanding of machine learning algorithms (e.g., regression, classification, clustering)
• Familiarity with MLOps tools (e.g., Airflow, MLflow, DVC), containerization (e.g., Docker), and orchestration (e.g., Kubernetes)
• Experience with SQL, including complex queries, analytic functions, and querying large datasets.
• Familiarity with model monitoring and logging tools (e.g., Prometheus, Grafana)
• Knowledge of cloud platforms (Azure, AWS, GCP)
• Experience with version control and CI/CD practices (e.g., Git, Jenkins)
• Strong problem-solving and analytical skills
• A self-driven attitude with a strong sense of ownership and the ability to work independently to solve problems and develop solutions
Excellent command of the English language, both written and verbal

Interview steps

Our benefits

• Excellent compensation package
• Medical insurance
• Provident fund
• In-house gym with a personal trainer
• Free daily lunch catering, snacks, and beverages
• Company discount card for various products & services
• 21 days of a nnual leave and 10 days of sick leave annually
• Shuttle bus service from Limassol
• Birthday gift
• Relocation bonus and visa/work permit support