Machine Learning Engineer
Ernst and Young21 days ago
Athens, GreeceMid Level
Responsibilities
- Collaborate with data scientists on machine learning model integration and deployment.
- Set up infrastructure and tools for deploying and monitoring machine learning models.
- Manage cloud resources and optimize system performance.
- Implement automated testing and deployment pipelines.
- Build and maintain data pipelines for preprocessing and transformation.
- Monitor model performance and system health.
- Ensure data security and compliance and document processes and best practices.
- Keep current with MLOps and AIOps developments and contribute to EY innovation.
- Work with multidisciplinary teams on client data initiatives and provide technical guidance.
Requirements
- 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 AWS, Microsoft Azure, Google Cloud Platform, or Cloudera.
- Understanding of cloud resource utilization for deploying and scaling machine learning models.
- Strong analytical, problem-solving, critical-thinking, interpersonal, and technical-writing skills in Greek and English.
- Ability to work under tight timelines, adapt to a fast-paced multinational environment, travel, and work effectively with high-performing teams.
- Preferred: proficiency in DevOps practices and automated software testing; knowledge of Docker and Kubernetes; familiarity with MLflow, Kubeflow, Synapse Analytics, or SageMaker; and knowledge of servers, storage, networking, resource provisioning, and ML pipelines.
Benefits
- Hybrid working arrangement across EY offices in Athens, Patras, Thessaloniki, and Crete, based on employee preferences and team needs.
- Access to educational platforms, EY Badges, EY Degrees, certification support, coaching, feedback, and international projects.
- Access to EY’s GenAI ecosystem and advanced AI tools.
- Competitive rewards package including technological equipment, ticket restaurant vouchers, private health and life insurance, income protection, and an EY benefits club card.
- Flexible benefits and scheduling including short Fridays, Flex Day, and Together Day.
- Opportunities for volunteering, sustainable practices, and societal impact.
- Inclusive and diverse workplace culture.
Tech Stack
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.