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.
Requirements
- Bachelor's or Master's degree in computer science, data science, engineering, or a related field.
- Experience in the fields of AIOps, MLOps or System Administration.
- Demonstrated experience in deploying ML models into production environments.
- Participation in Kaggle competitions or personal ML projects can also demonstrate practical skills.
- Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) or Cloudera.
- Understanding how to leverage cloud resources for deploying and scaling ML models.
- Proficiency in modern DevOps practices and automated software testing.
- Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes is valuable.
- Familiarity with AIOps/ MLOps tools and platforms, such as MLflow, Kubeflow, Synapse Analytics or SageMaker, is advantageous.
- Understanding how to set up and manage machine learning pipelines, model monitoring, and deployment infrastructure is important.
- Knowledge of infrastructure components like servers, storage systems, and networking.
- Understanding how to provision and configure resources for ML workloads.
- Strong analytical, problem solving and critical thinking skills.
- Desire to investigate and try-out new tools and technologies as they are released.
- Ability to work under tight timelines, in cases for multiple project deliveries.
- Good interpersonal skills and ability to work effectively within high-performing teams.
- Confidence to convey technical advice and guidance to clients.
- Ability to adapt in a fast paced multinational environment.
- Advanced technical writing skills in Greek and English (additional languages will be a plus).
- Self-motivation for continuous development.
- Willingness and ability to travel and work abroad for international projects.
Benefits
- Unlimited access to educational platforms, EY Badges and EY Degrees, alongside support for certifications.
- Personalized coaching and feedback, and gain exposure to international projects, through our expansive global network, empowering you to define and achieve your own success.
- Dive into our innovative GenAI ecosystem, designed to enhance your EY journey and support your career growth.
- Competitive rewards package, depending on your experience, includes cutting-edge technological equipment, ticket restaurant vouchers, a private health and life insurance scheme, income protection and an exclusive EY benefits club card that provides a wide range of discounts, offers and promotions.
- Flexible working arrangement (hybrid model) is defined based on your own preferences and team’s needs, and we enjoy other initiatives such as summer short Fridays and an EY Day Off.
- Commitment to a sustainable way of operating, encourages volunteerism, promotes sustainable practices and offers opportunities for you to create a positive societal impact.
