Machine Learning Engineer

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too.

Join our continuously growing team, which employs over 2.200 professionals in Greece, and is listed in Greece's Top Employers for 2023! Experience great flexibility, under our hybrid operating model across our offices in Athens, Patras, and Thessaloniki, while benefiting from personalized learning and career development opportunities. We prioritize diversity, equity, and inclusion, fostering an environment where everyone's unique perspectives are valued, that supports you in building an exceptional experience for yourself, and a better working world for all.

The opportunity

Modern technology produces more data than ever before and has also produced new AI algorithms and tools, resulting in new opportunities and substantiated business insights in support of new and deeper insights, more informed actions and decision making. EY delivers leading services and solutions in the area of big data, business intelligence and data engineering built on a blend of tools and custom-developed methods.

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.
  
  

Skills And Attributes For Success

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

• Competitive remuneration package: You’ll be rewarded for your individual and team performance. Depending on your experience, our comprehensive rewards package includes benefits that suit your needs including cutting-edge technological equipment, ticket restaurant vouchers, a private health insurance scheme, life insurance, income protection and an exclusive EY benefits club that provides a wide range of discounts, offers and promotions.
• Flexible working arrangements: We operate under a hybrid working model, which is defined based on both your own preferences and team’s needs, and we enjoy our summers with short Fridays.
• Personalized learning experience and career development: We provide free and unlimited access to educational platforms and EY Badges, support certifications, and provide coaching and feedback, as a part of our Leadership & Development process, all of which can lead to a meaningful impact and success as defined by you.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
• International Experience: Become part of international projects and work along multicultural teams, through our global network.
• Above all, you will be working in one of the Top Employers in Greece for 2023, awarded by the Top Employers Institute.
  
  

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The Exceptional EY Experience. It’s Yours To Build.

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