AI Engineer (PRAIE0226)- Client Services at PRIORITY Quality Consultants

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.

Key Responsibilities

• 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.

Requirements

• 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.

Strong Plus

• Hands-on experience with cloud-based AI solutions.
• Knowledge of DevOps practices and version control systems (e.g., Git).
• Familiarity with big data technologies such as Hadoop or Spark.
• Publications or contributions to open-source AI projects.

Benefits

• Remote work: Work from anywhere in Europe with flexible hours.

• Access to latest tools and technologies.
• Collaborative, inclusive, and diverse team culture.
• Innovation-friendly environment where new ideas are welcomed.