Machine Learning Engineer at EY

Heraklion, Region of Crete, Greece -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Integration, Model Deployment, Infrastructure Setup, Performance Optimization, CI/CD Pipelines, Data Pipelines, Model Monitoring, Data Security, Compliance, Documentation, MLOps, AIOps, Analytical Skills, Problem Solving, Critical Thinking, Technical Writing

Industry

Professional Services

Description

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. Being part of EY in Greece means being part of a continuously growing team, which has been announced as Top Employer for the fourth consecutive year, certified as a Great Place to Work for the third year in a row, and awarded as Best Workplace in Professional Services & Consulting for the second consecutive time, for our almost 3,000 professionals! At EY, we’ll develop you with future-focused skills and equip you with world-class experiences through coaching and training programs as well as the use of advanced technology and AI. We’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams Join us as we commemorate 100 years of EY in Greece this year. Experience great flexibility under our hybrid operating model across our offices in Athens, Patras, Thessaloniki and Crete and contribute to building a better working world. 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, Google Cloud Platform (GCP) or Cloudera. Understanding how to leverage cloud resources for deploying and scaling ML models. Ideally, you’ll also have 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. 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). 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 various getaways such as short Fridays, Flex Day and Together Day. 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 4 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. Are you ready to shape your future with confidence? Apply today. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Key responsibilities include collaborating with data scientists on model integration and deployment, setting up infrastructure for deployment and monitoring, and building and maintaining data pipelines for pre-processing and transformation. The role also involves monitoring system health, ensuring data security, documenting processes, and staying updated with MLOps/AIOps advancements.