Emerald Zebra is partnering with a forward-thinking technology company specializing in IT consulting and software development currently seeking a Machine Learning Engineer to join their team in Limassol, Cyprus.

This opportunity is perfect if you have a strong background in developing and deploying machine learning models, with specific experience in using AWS SageMaker Autopilot or similar services. You will be responsible for automating model selection, training, and tuning processes, as well as deploying and monitoring models in production.

As a Machine Learning Engineer, you will be responsible for:

• Design, develop, and implement machine learning models for predicting cardholder behavior.
• Automate the model training and selection process using AWS SageMaker Autopilot or a similar service.
• Collaborate with data engineers to ensure the availability and quality of data for model training.
• Deploy machine learning models into production environments and monitor their performance.
• Continuously evaluate and improve model accuracy and effectiveness.

Required Qualifications and Skills:

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in machine learning and data science, particularly in using AWS SageMaker or similar services.
• Proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud services and infrastructure, particularly AWS
• Experience in working with large datasets and automating ML pipelines.
• Experience with model deployment and monitoring in production environments.

Information:

• Salary range, depending on experience: 35K to 40K Gross / Year
• Location: Limassol, fully onsite
• Working hours: Monday to Thursday 8:00 to 17:30, and Friday 8:00 to 14:00.
• Complimentary lunch in the office.

Ready to join a forward-thinking tech company? Submit your CV to margarita.savva@emeraldzebra.cy and take the next step in your career today!