ML Engineer

CyprusHybrid

Cypus, Limassol

We are looking for a Machine Learning Engineer to join our growing data team. You’ll design, build, and deploy production-grade ML systems that directly impact business decisions. If you are passionate about solving complex problems with data and building scalable AI solutions — we’d love to meet you.

Responsibilities

Design, develop, and deploy end-to-end ML systems and pipelines in a production environment.
Research and identify algorithms that best fit specific business and technical problems.
Collect, clean, prepare, verify, and perform feature engineering for model training.
Deploy models, build monitoring systems for performance and data drift detection, and automate model retraining processes
Run A/B tests, optimize model efficiency and inference speed.
Work closely with Data Analysts, Data Engineers, and Developers to ensure seamless integration of ML solutions into the product ecosystem.
Stay up to date with the latest ML algorithms, frameworks, and tools, applying them where beneficial.

Requirements

3+ years of experience in applied Machine Learning or Data Science.
Ability to work independently and take ownership of projects from idea to production.
Strong programming skills in Python and proficiency with key ML libraries.
Solid understanding of statistical modeling, feature engineering, and data preprocessing.
Hands-on experience deploying and maintaining ML models in production.
Experience with ETL processes and data pipelines.
Strong knowledge of SQL and working with large datasets.
Understanding of MLOps principles (model lifecycle, monitoring, retraining).
Familiarity with cloud environments (AWS, GCP, or Azure) is a plus.
English level: Intermediate+ for documentation and team communication

Tech Stack:
Core: Python, Scikit-learn, pandas, CatBoost, LightGBM/XGBoost, SQL
Nice to have: Airflow, MLflow, Docker, Spark
Bonus: Experience building anti-fraud or spam detection systems