Role overview
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.
What you'll work on
- 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
What we're looking for
- 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 process
Recruiter screen (30 minutes)
Technical Interview (1 hour)
Test task
Technical Interview (1 hour)
Final Interview with manager (30 minutes)
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Ai