Machine Learning Engineer
Machine Learning Engineer
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Job Description
Are you experienced in Python and developing and deploying machine learning models with expertise in using AWS SageMaker Autopilot or similar tools
Emerald Zebra is working with a growing fintech company based in Limassol that delivers custommade financial solutions to small medium and large enterprises. With a passion for creating stateoftheart technology and transforming the retail and hospitality experience our client is looking for a Machine Learning Engineer to join their innovative team.
In this role you will be responsible for automating model selection training and tuning processes as well as deploying and monitoring models in production.
Your responsibilities:
- Design develop and implement machine learning models for predicting cardholder behavior.
- Automate the model training and selection process using AWS SageMaker Autopilot or 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.
About You:
- 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.
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow PyTorch or Scikitlearn.
- 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.
Info & Benefits:
- Working hours: MondayThursday 8:00 to 17:30 P.M Friday 8:00 to 14:00
- Possibility of Hybrid (23 days remotely) after the first few months.
- Performance based bonuses.
- Food allowance.
- Opportunities for international training and continuous development.
If youre interested in the above opportunity apply today by sending your CV to:
Remote Work :
No
Employment Type
Full Time
