EY is seeking a Machine Learning Engineer to join the AI & Data team within Technology Consulting in Greece. In this hybrid role, you will collaborate with cross-disciplinary teams to support clients across a broad range of data initiatives, generating new insights and enabling informed decision-making. You will have opportunities to work on challenging engagements and gain exposure to clients in Greece and abroad, with EY offices in Athens, Patras, Thessaloniki and Crete.

Key responsibilities: - 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 EY innovations.

What we look for: - Bachelor's or Master's degree in computer science, data science, engineering, or related field. - Experience in AIOps, MLOps or System Administration. - Demonstrated experience deploying ML models into production environments. - Experience with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform (GCP) or Cloudera. - Ability to leverage cloud resources for deploying and scaling ML models. - Proficiency in modern DevOps practices and automated software testing; knowledge of Docker and Kubernetes is valuable. - Fami

EY is seeking a Machine Learning Engineer to join the AI & Data team within Technology Consulting in Greece. In this hybrid role, you will collaborate with cross-disciplinary teams to support clients across a broad range of data initiatives, generating new insights and enabling informed decision-making. You will have opportunities to work on challenging engagements and gain exposure to clients in Greece and abroad, with EY offices in Athens, Patras, Thessaloniki and Crete.

Key responsibilities: - 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 EY innovations.

What we look for: - Bachelor's or Master's degree in computer science, data science, engineering, or related field. - Experience in AIOps, MLOps or System Administration. - Demonstrated experience deploying ML models into production environments. - Experience with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform (GCP) or Cloudera. - Ability to leverage cloud resources for deploying and scaling ML models. - Proficiency in modern DevOps practices and automated software testing; knowledge of Docker and Kubernetes is valuable. - Fami