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Ernst & Young

Provides consulting, assurance, and tax services

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAthens, GreeceNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in computer science, data science, engineering, or a related field.
  • Experience in AIOps, MLOps, or system administration.
  • Demonstrated experience deploying machine learning models into production environments.
  • Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, or Cloudera.
  • Understanding how to use cloud resources to deploy and scale machine learning models.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to investigate and try new tools and technologies as they are released.
  • Ability to work under tight timelines across multiple project deliveries.
  • Ability to work effectively within high-performing teams.
  • Confidence conveying technical advice and guidance to clients.
  • Ability to adapt in a fast-paced multinational environment.
  • Advanced technical writing skills in Greek and English.
  • Self-motivation for continuous development.
  • Willingness and ability to travel and work abroad for international projects.

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 continuous integration and continuous delivery pipelines for automated testing and deployment.
  • Build and maintain data pipelines for preprocessing and transformation.
  • Monitor model performance and system health.
  • Ensure data security and compliance.
  • Document processes and best practices.
  • Stay updated with advancements in MLOps and AIOps and contribute to EY innovation.

Desired Qualifications

  • Participation in Kaggle competitions or personal machine learning projects can demonstrate practical skills.
  • Proficiency in modern DevOps practices and automated software testing.
  • Knowledge of containerization technologies such as Docker and container orchestration platforms such as Kubernetes.
  • Familiarity with AIOps and MLOps tools and platforms such as MLflow, Kubeflow, Synapse Analytics, or SageMaker.
  • Understanding how to set up and manage machine learning pipelines, model monitoring, and deployment infrastructure.
  • Knowledge of infrastructure components such as servers, storage systems, and networking, and understanding how to provision and configure resources for machine learning workloads.
  • Additional languages are a plus.

About the Company

Ernst & Young

Provides consulting, assurance, and tax services

EY (Ernst & Young) is a global professional services firm that provides consulting, assurance, tax, and transaction advisory services across industries such as energy, healthcare, financial services, and real estate. Its work centers on helping clients solve critical business challenges by offering high-value advisory support in areas like supply chain, cybersecurity, sustainability, and digital transformation; revenue comes from fees for consulting, audit, and advisory services. What sets EY apart is its breadth of services across multiple disciplines, deep industry knowledge, and emphasis on thought leadership and research to inform clients’ strategic decisions. The firm aims to help organizations improve operational efficiency, navigate regulatory environments, and stay ahead of market trends by delivering practical, evidence-based guidance and execution support.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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