Machine Learning Engineer

CyprusHybrid

We’re looking for a talented and driven Machine Learning Engineer to join our dynamic team and help build cutting-edge AI solutions. If you have a strong background in machine learning, data science, and software engineering and a passion for developing scalable, high-performance AI-driven systems, this is your chance to work on exciting challenges in a collaborative environment. Join us and be part of something amazing!

The main responsibilities of the position include:

  • Deploy machine learning models and integrate AI tools into production systems.

  • Optimise and fine-tune models for performance, scalability, and efficiency.

  • Collaborate with data engineers and data scientists to develop and maintain data pipelines, working with large datasets to prepare data for model training and evaluation.

  • Stay up to date with the latest advancements in machine learning and AI technologies.

  • Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.

  • Set up pipelines for A/B testing of different model variations to evaluate performance and enhance model effectiveness.

Main requirements:

  • BSc/MSc in Computer Science, Data Science, Machine Learning, or a related field.

  • 4+ years of experience in machine learning/AI and DevOps/MLOps.

  • Strong programming background with proven experience in Python and other languages.

  • Experience with data structures, algorithms and ETL/ELT procedures.

  • Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.

  • Knowledge of containerization and model deployment using Docker.

  • Experience working with CI/CD pipelines using tools like Jenkins and GitLab CI.

  • Familiarity with task orchestration tools such as Airflow, Kubeflow, and MLflow.

  • Understanding of cloud computing platforms (AWS, GCP, or Azure) and big data ecosystems.

  • Experience with monitoring and logging solutions such as Prometheus, Grafana, CloudWatch, and the ELK Stack.

  • Strong problem-solving skills and the ability to work in a collaborative team environment.

  • Fluency in English Language

Benefit from:

  • Attractive remuneration package

  • Private health insurance

  • Corporate pension fund

  • Intellectually stimulating work environment

  • Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

  • Let’s Connect – Intro Chat with Talent Acquisition

  • Deep Dive – First Interview with Your Future Team

  • Bring It to Life – Role-Specific Take-Home Task

  • Final Connection – Final Interview

All applications will be treated with strict confidentiality!

Published on: 3/13/2026

XM

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