AI Engineer
Hybrid · Nicosia, Nicosia, Cyprus
Nicosia, Nicosia, CyprusHybridFull TimeMid LevelBachelors DegreeEnterprise
Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Enterprise
Job Summary
AI Engineer at EY Consulting, responsible for designing and implementing state-of-the-art AI solutions, developing AI models and systems with LLMs and generative AI, integrating with APIs and libraries (Azure OpenAI, Hugging Face), building end-to-end pipelines, utilizing vector databases, aligning with business requirements, and ensuring ethical data privacy considerations while collaborating with diverse teams in a hybrid work environment in Cyprus.
Required Qualifications
- 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 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 mathematical and quantitative skills including calculus, linear algebra, and statistics
Desired Qualifications
- 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
- 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
- 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 mathematical and quantitative skills including calculus, linear algebra, and statistics
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