
AI Engineer
Skills & requirements
About the role
About the Role
EY is seeking an AI Engineer to join its Transformation Realized™ Consulting practice, supporting clients in designing and implementing state-of-the-art AI solutions. This position is part of EY's Central, Eastern and Southeastern Europe & Central Asia cluster, delivering market-leading services across Cyprus and internationally.
Key Responsibilities
Design and implement advanced AI solutions leveraging Language Models and generative AI techniques
Develop and deploy AI models and systems, integrating with APIs such as Azure OpenAI GPT and Hugging Face Transformers
Build end-to-end pipelines for generative AI projects, handling data processing and model deployment
Work with vector databases like Redis and NoSQL solutions to manage large-scale datasets
Implement similarity search algorithms and data retrieval mechanisms for AI outputs
Collaborate with stakeholders to identify business opportunities and define AI project goals
Conduct research on advanced AI techniques including transfer learning and model compression
Establish evaluation metrics to assess quality and relevance of AI outputs
Ensure compliance with data privacy, security, and ethical AI considerations
Curate and preprocess large-scale datasets for generative AI applications
Required Qualifications
Bachelor's or Master's degree in computer science, engineering, mathematics, or related field
Minimum 3 years of experience in Data Science and Machine Learning
Proficiency in Python, R, and frameworks such as TensorFlow or PyTorch
Strong knowledge of NLP techniques and transformer models (BERT, GPT)
Experience with cloud platforms (Azure, AWS, or GCP)
Expertise in data engineering and preprocessing
Understanding of trusted AI practices, data privacy, and ethical considerations
Strong analytical, problem-solving, and communication skills
Knowledge of calculus, linear algebra, and statistics