AI Engineer (PRAIE0126)- Client Services

Priority Quality Consultants • Αθήνα, GRI, GR

Actively Hiring

Full-time Posted 7 months ago

Responsibilities

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

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.
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.

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