AI Engineer
Ernst and Young1 month ago
Nicosia, CyprusMid Level
Responsibilities
- Design and implement AI solutions using LLMs and generative AI techniques.
- Develop, integrate, optimize, and deploy AI models and end-to-end generative AI pipelines.
- Use Azure OpenAI GPT models, Hugging Face Transformers, vector databases, and similarity search techniques for enterprise applications.
- Curate, clean, and preprocess large-scale datasets for generative AI use cases.
- Define evaluation metrics and assess the quality, coherence, relevance, performance, and reliability of AI outputs.
- Collaborate with clients, stakeholders, domain experts, software engineering teams, and operations teams to translate business requirements into technical solutions.
- Research techniques including transfer learning, domain adaptation, and model compression.
- Ensure data privacy, security, fairness, transparency, accountability, and ethical compliance in AI applications.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related subject.
- At least 3 years of experience in data science and machine learning.
- In-depth knowledge of machine learning, deep learning, and generative AI techniques.
- Proficiency in Python, R, TensorFlow, or PyTorch.
- Strong understanding of NLP techniques and BERT, GPT, or Transformer models.
- Familiarity with computer vision, including image recognition, object detection, or image generation.
- Experience with Azure, AWS, or GCP and deploying AI solutions in cloud environments.
- Expertise in data curation, cleaning, preprocessing, and other data engineering activities.
- Knowledge of trusted AI, data privacy, security, and ethical considerations.
- Strong mathematical and quantitative skills, including calculus, linear algebra, and statistics.
- Strong problem-solving, analytical, communication, and stakeholder collaboration skills.
- Track record of innovation and staying current with AI research and advancements.
- Preferred: experience with DevOps and MLOps, CI/CD pipelines, Docker, Kubernetes, Git, monitoring, logging, and lean/agile software development.
Benefits
- Attractive remuneration package, including a 13th salary and yearly bonus.
- Provident Fund and private medical and life insurance.
- Flexible working arrangements, including hybrid work and flexible scheduling.
- Friday afternoons off, yearly wellbeing days off, paid sick leave, and paid paternity leave.
- EY Tech MBA, EY MSc in Business Analytics, EY Badges, and digital learning certificates.
- Mobility programs for employees interested in working abroad.
- Maternity, wedding, and new baby gifts.
- EY Employee Assistance Program with counseling, legal, and financial consultation services.
Tech Stack
AWSAzureDockerGitGoogle Cloud PlatformHugging Face TransformersKubernetesPythonPyTorchRRedisTensorFlow
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.