Priority Quality Consultants
AI

AI Engineer PRAIE0126 Client Services

Priority Quality Consultants · Αθήνα, GRI, GR

Actively hiring Posted 18 days ago

Role overview

PRIORITY, one of the largest and fastest-growing Management and IT consulting firms in Greece, is currently seeking to hire a highly skilled and experienced AI Engineer on behalf of a valued client in the field of cybersecurity.

Please note that this is a fully remote opportunity, and candidates from anywhere in Europe are welcome.

The AI Engineer will work on the evolution of an automated cybersecurity platform, playing a key role in strengthening automation, detection, and intelligence capabilities.

The position also involves integrating state-of-the-art AI models across the entire platform lifecycle to enhance scalability, efficiency, and advanced threat detection.

What you'll work on

  • Design, develop, and implement AI and machine learning models to address complex cybersecurity and business challenges.
  • Contribute to the continuous evolution of an automated cybersecurity platform.
  • Integrate cutting-edge AI models across the platform lifecycle to enhance automation, detection, and intelligence.
  • Collaborate closely with data scientists, software engineers, and stakeholders to embed AI solutions into production systems.
  • Perform data preprocessing and feature engineering to prepare datasets for modeling and analysis.
  • Conduct experiments to evaluate model performance and fine-tune algorithms and hyperparameters.
  • Stay up to date with the latest advancements in AI, machine learning, and cybersecurity.
  • Document AI methodologies, code, and project progress to support transparency and knowledge sharing.

What we're looking for

  • 5+ years of experience in artificial intelligence, machine learning, or related roles.
  • Strong proficiency in Python (or R) and experience with AI/ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of machine learning algorithms, NLP, and computer vision techniques.
  • Solid understanding of Docker, CI/CD pipelines, and scalable backend design.
  • Experience working with cloud-native environments and Kubernetes on AWS, Azure, or GCP.
  • Strong problem-solving skills and the ability to communicate complex concepts to both technical and non-technical stakeholders.

Tags & focus areas

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Remote Ai Ai Engineer Machine Learning