Ai Engineer Hybrid jobs at Ey in Cyprus, Nicosia

Key Responsibilities

• Contribute to the design and implementation of state-of-the-art AI solutions.

• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.

• Collaborate with stakeholders to identify business opportunities and define AI project goals.

• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.

• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.

• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.

• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.

• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.

• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.

• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.

• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.

• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

• Ensure compliance with data privacy, security, and ethical considerations in AI applications.

• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Skills and Attributes for Success

• Bachelor’s and/or Master's degree in computer science, engineering, mathematics, or any other relevant subject from a reputable University.

• Minimum 3 years of experience in Data Science and Machine Learning.

• In-depth knowledge of machine learning, deep learning, and generative AI techniques.

• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.

• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.

• Familiarity with computer vision techniques for image recognition, object detection, or image generation.

• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.

• Expertise in data engineering, including data curation, cleaning, and preprocessing.

• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.

• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.

• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.

• Understanding of data privacy, security, and ethical considerations in AI applications.

• Track record of driving innovation and staying updated with the latest AI research and advancements.

• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

It will be a plus if you have

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.

• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.

• Implement CI/CD pipelines for streamlined model deployment and scaling processes.

• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

• Implement monitoring and logging tools to ensure AI model performance and reliability.

• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.

• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

• You have experience with lean/agile software development.

EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include:

• 13th salary and yearly bonus

• Provident Fund

• Private Medical and Life Insurance

• Flexible working arrangements (hybrid work and flexible work schedule)

• Friday afternoon off

• EY Tech MBA and EY MSc in Business Analytics

• EY Badges - digital learning certificates

• Mobility programs (if interested to work abroad)

• Paid Sick Leave

• Paid Paternity Leave

• Yearly wellbeing days off

• Maternity, Wedding and New Baby Gifts

• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

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

Apply Now.

As an
AI Product Owner, you will:

• Act as the bridge between our clients, business stakeholders, and AI delivery teams.
• Shape the roadmap, and requirements for AI solutions, ensuring they are practical, ethical, and aligned with client strategy.
• Work on AI & Data strategies that transform the AI & Data landscape of our clients, enabling them to capture new opportunities, modernize legacy systems, and embed AI responsibly across their organizations.
• Translate complex business needs into clear product backlogs, working closely with Data Scientists, AI Engineers, and Consultants.
• Manage client expectations, communicate progress, and ensure high-quality delivery across multiple engagements.
• Stay ahead of market trends and AI regulations,
• Contribute to our internal AI frameworks and accelerators.

:

• Define and own roadmaps for client engagements.
• Collaborate with client stakeholders to capture requirements and translate them into actionable features.
• Prioritize and manage product backlogs in agile delivery environment
• Work on AI & Data strategy engagements, helping clients design target operating models, governance frameworks, and transformation roadmaps.
• Work closely with cross-functional teams (consultants, data scientists, ML engineers, UX/UI designers) to ensure successful delivery.
• Support business development through proposals, demos, and client presentations.
• Ensure solutions comply with ethical AI principles, data governance, and relevant regulatory frameworks (e.g., EU AI Act, GDPR).
• Contribute to the growth of our AI consulting practice by sharing insights, reusable assets, and accelerators.

What We’re Looking For

• 2+ years of experience as a Product Owner/Manager or Consultant, ideally in consulting, technology, or AI-driven organizations.
• Strong understanding of AI/ML concepts and their applications in business (hands-on coding not required but ability to “speak AI” is essential).
• Proven track record of delivering digital/AI products/strategies
• Stakeholder management and communication skills—comfortable engaging with both C-suite and technical teams.
• Ability to manage multiple client-facing projects simultaneously.
• Relevant certifications (PSPO, SAFe, Scrum, or AI-related) are a plus.

EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to, our benefits include:

• Flexible working arrangements (work from anywhere when possible and flexible work schedule)
• Friday afternoon off
• EY Tech MBA and EY Master’s in Business Analytics
• EY Badges - digital credentials
• Mobility programs (if interested to work abroad)
• Private Medical and Life Insurance
• Paid Sick Leave
• Paid Paternity Leave
• Maternity, Wedding and New Baby Gifts
• Dress for the Occasion
• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

Building a better working world

Key Responsibilities

• You will lead/support our customers on a project basis in topics such as data strategy, data architecture, data analysis, data visualization, process automation, data governance, data science and AI.

• You will analyse, capture, and document requirements for data, AI, and automation use cases in close coordination with stakeholders. Ensure clear and precise definition of requirements to meet customer needs.

• You will be responsible of designing, building, and maintaining data and AI pipelines in production.

• You will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.

• You will evaluate and implement solutions for data infrastructure, including data stores, data warehouses and database systems.

• You will help our clients navigate the complex world of modern data science, analytics, and software engineering.

• You will provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

• You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging problems for our clients.

• You will think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities.

Skills and Attributes for Success

• Bachelor’s and/or Master's degree in computer science, engineering, mathematics, or any other relevant subject from a reputable University.

• Up-to 6 years of full-time working experience in Data and/or AI and/or Machine Learning or a similar role.

• Strong skills in Python and/or R, and SQL.

• Experience working with popular ML packages such as scikit-learn, Pytorch, TensorFlow, or related ML libraries.

• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

• Experience designing, building, and maintaining ML models, frameworks, and pipelines in a production environment – on-prem or cloud.

• Good understanding of the different data architecture patterns (e.g., Data Lake, Data Mesh, Data Warehouse, Data Lakehouse)

• Solid understanding of data modelling, ETL processes, and data integration techniques, including experience of implementing the above concepts.

• Experience with data visualization and BI tools such as PowerBI and/or Tableau.

• Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms

• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

• Clearly communicating findings, recommendations, and opportunities to improve data/AI systems and solutions.

• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

It will be a plus if you have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different Data & AI approaches.

• Experience working with diverse teams to deliver complex solutions.

• Familiarity with Generative AI models and frameworks e.g. OpenAI family, open source LLMs, etc.

• Experience fine-tuning Generative AI models.

• You have experience with lean/agile software development.

EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include:

• 13th salary and yearly bonus

• Provident Fund

• Private Medical and Life Insurance

• Flexible working arrangements (hybrid work and flexible work schedule)

• Friday afternoon off

• EY Tech MBA and EY MSc in Business Analytics

• EY Badges - digital learning certificates

• Mobility programs (if interested to work abroad)

• Paid Sick Leave

• Paid Paternity Leave

• Yearly wellbeing days off

• Maternity, Wedding and New Baby Gifts

• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

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

Apply Now.

Your Key Responsibilities:

• Design and implement robust, scalable test automation frameworks and tools that integrate seamlessly into CI/CD pipelines.
• Collaborate with architects and DevOps engineers to embed quality into the software delivery lifecycle from the ground up.
• Develop advanced automated test suites for APIs, microservices, and distributed systems as well as mobile, web and desktop apps.
• Drive shift-left testing practices and champion quality engineering principles across teams.
• Investigate complex technical challenges and deliver innovative, practical solutions without blockers.
• Contribute to performance, security, and reliability testing strategies.
• Mentor team members on automation best practices and modern testing approaches.

To qualify for the role, you should have:

• 4–8 years of experience in software development and test automation.
• Strong programming skills in Java, Python, or similar languages.
• Proven experience building automation frameworks from scratch.
• Familiarity with DevOps practices, CI/CD tools (Azure DevOps, Jenkins, GitHub Actions), and containerization (Docker, Kubernetes).
• Solid understanding of cloud platforms (Azure, AWS, or GCP).
• Strong problem-solving mindset and ability to work independently in ambiguous situations.
• Excellent communication skills in English.

Skills and Attributes for Success:

• Self-driven, proactive, and solutions-oriented — no blockers, just results.
• Comfortable working in fast-paced, dynamic environments.
• Passionate about automation, architecture, and continuous improvement.

It will be a plus if you have:

• Self-driven, proactive, and solutions-oriented — no blockers, just results.
• Comfortable working in fast-paced, dynamic environments
• Passionate about automation, architecture, and continuous improvement.

In addition, but not limited to our benefits include:

• 13th salary and yearly bonus

• Provident Fund

• Private Medical and Life Insurance

• Flexible working arrangements (hybrid work and flexible work schedule)

• Friday afternoon off

• EY Tech MBA and EY MSc in Business Analytics

• EY Badges - digital learning certificates

• Mobility programs (if interested to work abroad)

• Paid Sick Leave

• Paid Paternity Leave

• Yearly wellbeing days off

• Maternity, Wedding and New Baby Gifts

• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

EYBuilding a better working world