Machine Learning Team Lead

Cyprus, Ypsonas, Greece

FxPro

FxPro offers CFDs on currency pairs and five other asset classes. Start trading forex online with the world’s best forex broker.

View all jobs at FxPro

Apply now Apply later

Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Monaco, Nassau, and Dubai. FxPro boasts a diverse workforce of over 400 employees representing 22 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 Team Lead, you will build your own team, develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts. 


Responsibilities

  • Develop ML models for trader profiling: analyzing trading strategies, volumes, preferences by country, etc.
  • Update and optimize models for quality and performance, integrate models into operational systems
  • Collect, clean, and transform data for models
  • Monitor model performance and make improvements, ensure code is scalable and secure


Requirements

  • Higher education in computer science, statistics, applied mathematics, or a related field
  • Deep understanding of statistical methods and machine learning algorithms
  • Classification (logistic regression, SVM, random forests, gradient boosting)
  • Clustering (K-means, hierarchical)
  • Regression analysis (linear, multiple, criteria)
  • Deep learning (CNN, RNN, LSTM for time series analysis) 
  • Natural language processing (NLP) for sentiment analysis and text data

Knowledge of tools and practices in MLOps:

  • Containers (Docker), orchestration (Kubernetes)
  • Familiarity with CI/CD (Jenkins, GitLab CI/CD)
  • Versioning of models and experiments (DVC, MLflow)
  • Monitoring and logging of models in production to track their performance and respond to data drift (e.g., Prometheus, Grafana)
  • Understanding of Feature Store for centralized feature management

Programming and data analysis skills

  • Proficiency in Python and data analysis libraries (pandas, NumPy), visualisation (Matplotlib, Seaborn)
  • SQL and NoSQL
  • Knowledge of Spark or other big data packages would be an advantage


Our benefits

    • Excellent compensation package
    • Medical and life insurance
    • Provident fund
    • In-house gym with a personal trainer
    • Free daily lunch catering, snacks, and beverages
    • Company discount card for various products & services
    • 50% discount on language courses with a tutor
    • 21 days of annual leave and 10 days of sick leave annually
    • Shuttle bus service from Limassol
    • Birthday certificate program
    • Relocation bonus and visa/work permit support 


    Apply now Apply later

    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

    Job stats:  0  0  0

    Tags: Big Data CI/CD Classification Clustering Computer Science Data analysis Deep Learning Docker FinTech GitLab Grafana Jenkins Kubernetes LSTM Machine Learning Mathematics Matplotlib MLFlow ML models MLOps NLP NoSQL NumPy Pandas Python RNN Seaborn Spark SQL Statistics Trading Strategies

    Perks/benefits: Career development Medical leave Relocation support Salary bonus Snacks / Drinks

    Regions: Europe Middle East
    Countries: Cyprus Greece