ML Engineer

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

We offer

• Official employment and support for a work visa

• Opportunities for professional growth

• Friendly work environment

• Flexible start to the workday