P style=text-align:justifyAt EY Consulting Service Line, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. /pp style=text-align:justify /pp style=text-align:justifybThe opportunity /b/pp style=text-align:justify /pp style=text-align:justifyOur EY Consulting ambition is to become the world’s leading transformation consultants, trusted to help our clients generate long-term value. We’re building world-class capabilities in business, technology and people consulting to help us deliver on EY’s purpose of building a better working world — our firm’s broader ambition to become the world’s most trusted, distinctive professional services organization. /pp style=text-align:justify /pp style=text-align:justifyOur clients are at the heart of our new strategy. We’re focused on solving the key issues of our client buyers, building deeper relationships, and making a greater impact. We’re introducing a new go-to-market narrative — Transformation Realized™ — to help us harness the core drivers of transformation that will create long-term value for our clients. /pp style=text-align:justifyTo achieve this, we are seeking for AI Engineer to join our Transformation Realized™ Consulting practice to support our clients in defining and rolling out the right data architecture, data platforms and infrastructure that support their needs, implement, and maintain automated data pipelines, and infuse data through business intelligence and analytics. Our team is part of EY’s Central, Eastern and Southeastern Europe amp; Central Asia (CESA) cluster, delivering market leading services to organizations across industries in Cyprus and internationally. /pp style=text-align:justify /pp style=text-align:justifyThe transformation imperative is urgent, challenging and opportunity-rich, interested to join us? /pp style=text-align:justify /pp style=text-align:justifybKey Responsibilities /b/pp style=text-align:justify /pullip style=text-align:justifyContribute to the design and implementation of state-of-the-art AI solutions. /p/lilip style=text-align:justifyAssist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. /p/lilip style=text-align:justifyCollaborate with stakeholders to identify business opportunities and define AI project goals. /p/lilip style=text-align:justifyStay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. /p/lilip style=text-align:justifyUtilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. /p/lilip style=text-align:justifyIntegrate 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. /p/lilip style=text-align:justifyImplement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. /p/lilip style=text-align:justifyUtilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. /p/lilip style=text-align:justifyImplement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. /p/lilip style=text-align:justifyCollaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. /p/lilip style=text-align:justifyConduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. /p/lilip style=text-align:justifyEstablish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. /p/lilip style=text-align:justifyEnsure compliance with data privacy, security, and ethical considerations in AI applications. /p/li/ulullip style=text-align:justifyLeverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. /p/li/ulp style=text-align:justify /pp style=text-align:justifybSkills and Attributes for Success /b/pp style=text-align:justify /pullip style=text-align:justifyBachelor’s and/or Masters degree in computer science, engineering, mathematics, or any other relevant subject from a reputable University. /p/lilip style=text-align:justifyMinimum 3 years of experience in Data Science and Machine Learning. /p/lilip style=text-align:justifyIn-depth knowledge of machine learning, deep learning, and generative AI techniques. /p/lilip style=text-align:justifyProficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. /p/lilip style=text-align:justifyStrong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. /p/lilip style=text-align:justifyFamiliarity with computer vision techniques for image recognition, object detection, or image generation. /p/lilip style=text-align:justifyExperience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. /p/lilip style=text-align:justifyExpertise in data engineering, including data curation, cleaning, and preprocessing. /p/lilip style=text-align:justifyKnowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. /p/lilip style=text-align:justifyStrong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. /p/lilip style=text-align:justifyExcellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. /p/lilip style=text-align:justifyStrong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. /p/lilip style=text-align:justifyUnderstanding of data privacy, security, and ethical considerations in AI applications. /p/lilip style=text-align:justifyTrack record of driving innovation and staying updated with the latest AI research and advancements. /p/lilip style=text-align:justifyStrong mathematical and quantitative skills including calculus, linear algebra, and statistics. /p/li/ulp style=text-align:justify /pp style=text-align:justifybIt will be a plus if you have /b/pp style=text-align:justify /pullip style=text-align:justifyApply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. /p/lilip style=text-align:justifyDrive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. /p/li/ulullip style=text-align:justifyImplement CI/CD pipelines for streamlined model deployment and scaling processes. /p/lilip style=text-align:justifyUtilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. /p/lilip style=text-align:justifyImplement monitoring and logging tools to ensure AI model performance and reliability. /p/lilip style=text-align:justifyCollaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. /p/lilip style=text-align:justifyFamiliarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. /p/lilip style=text-align:justifyYou have experience with lean/agile software development. /p/li/ulp style=text-align:justify /pp style=text-align:justifybWhat working at EY offers/b/pp style=text-align:justify /pp style=text-align:justifyEY 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: /pp style=text-align:justify /pullip style=text-align:justify13th salary and yearly bonus /p/lilip style=text-align:justifyProvident Fund /p/lilip style=text-align:justifyPrivate Medical and Life Insurance /p/lilip style=text-align:justifyFlexible working arrangements (hybrid work and flexible work schedule) /p/lilip style=text-align:justifyFriday afternoon off /p/lilip style=text-align:justifyEY Tech MBA and EY MSc in Business Analytics /p/lilip style=text-align:justifyEY Badges - digital learning certificates /p/lilip style=text-align:justifyMobility programs (if interested to work abroad) /p/lilip style=text-align:justifyPaid Sick Leave /p/lilip style=text-align:justifyPaid Paternity Leave /p/lilip style=text-align:justifyYearly wellbeing days off /p/lilip style=text-align:justifyMaternity, Wedding and New Baby Gifts /p/li/ulullip style=text-align:justifyEY Employee Assistance Program (EAP) (counselling, legal and financial consultation services) /p/li/ulp style=text-align:justify /pp style=text-align:justifybAbout EY /b/pp style=text-align:justify /pp style=text-align:justifyEY | Building a better working world /pp style=text-align:justify /pp style=text-align:justifyEY 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. /pp style=text-align:justifyEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. /pp style=text-align:justifyWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. /pp style=text-align:justify /pp style=text-align:justifyb#betterworkingworld /b/pp style=text-align:justify /pp style=text-align:justifyIf you can demonstrate that you meet the criteria above, please contact us as soon as possible. /pp style=text-align:justify /pp style=text-align:justifyThe exceptional EY experience. It’s yours to build. /pp style=text-align:justify /pp style=text-align:justifyApply Now. /pp style=text-align:justify /pp style=text-align:justify /p