EY Machine Learning Engineer 

Greece, Attica, Athens 

141458236

As part of our AI & Data team of the Technology Consulting practice, you will work with multi-disciplinary teams to support clients in a wide range of data initiatives aiming to generate and present new, useful and actionable insights. You will have the opportunity to work and take responsibilities in challenging engagements, gaining exposure to clients in various sectors both in Greece and abroad.

Your key responsibilities

• Collaborating with data scientists on model integration and deployment.
• Setting up infrastructure and tools for deploying and monitoring models.
• Managing cloud resources and optimizing performance.
• Implementing CI/CD pipelines for automated testing and deployment.
• Building and maintaining data pipelines for pre-processing and transformation.
• Monitoring model performance and system health.
• Ensuring data security and compliance.
• Documenting processes and best practices.
• Staying updated with advancements in MLOps/AIOps and contributing to EY innovation.

To qualify for the role you must have

• 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, or Google Cloud Platform (GCP) is highly desirable. Understanding how to leverage cloud resources for deploying and scaling ML models.

Ideally, you’ll also have

• Proficiency in DevOps practices, version control systems (e.g., Git), and automated software testing is essential. Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes is valuable.
• Familiarity with 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 is valuable. Understanding how to provision and configure resources for ML workloads is beneficial.

What we look for

• 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).
• Evidence of self-motivation for continuous development.
• Willingness and ability to travel and work abroad for international projects.

What we offer you

Ability to Shape your Future with Confidence by:

• Developing your professional growth:
  • You'll have unlimited access to educational platforms, EY Badges and EY Degrees, alongside support for certifications. You will experience 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. These advanced AI tools will empower you to focus on higher-value work and meaningful interactions, enriching your professional experience like never before.

• Empowering your personal fulfilment: We focus on your financial, social, mental and physical wellbeing.
  • Our 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.
  • Our 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.
  • Our commitment to a sustainable way of operating, encourages volunteerism, promotes sustainable practices and offers opportunities for you to create a positive societal impact.
  • Our pride lies in working at EY as one of the most recognized employers in Greece through our multiple awards received over the last 3 years (Top Employer, Great Place to Work and Best Workplace in Professional Services & Consulting).

• Fueling an inclusive culture: We prioritize a diverse, equitable and inclusive environment, where you’ll be embraced for who you are and empowered to use your voice to help others find theirs.