JOBILY AI SUMMARY
What you'll do
- Collaborate with data scientists on model integration and deployment
- Set up infrastructure and tools for deploying and monitoring models
- Manage cloud resources and optimize performance
- Implement CI/CD pipelines for automated testing and deployment
- Build and maintain data pipelines for pre-processing and transformation
- Monitor model performance and system health
- Ensure data security and compliance
- Document processes and best practices
- Stay updated with advancements in MLOps/AIOps and contribute to innovation
Key requirements
- Deploy ML models into production environments and manage model integration
- Use cloud platforms such as AWS, Azure, GCP, or Cloudera
- Build and maintain data pipelines for pre-processing and transformation
- Implement CI/CD pipelines and automated software testing
- Apply knowledge of containerization technologies like Docker and orchestration platforms like Kubernetes
- Monitor model performance, ensure data security and compliance
- Demonstrate skills in MLOps/AIOps, model deployment, and management of infrastructure components
- Possess advanced technical writing skills in English and Greek
- Participate in Kaggle competitions or personal ML projects
- computer science / data science / engineering / related fieldpreferred
Benefits
- Unlimited access to educational platforms, EY Badges and EY Degrees, coaching and international project exposure.
- Competitive rewards including advanced tech equipment, vouchers, insurance, flexible hybrid working model, and opportunities for a positive societal impact.
About the job
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Being part of EY in Greece means being part of a continuously growing team, which has been announced as Top Employer…



