AI/ML & Data Engineer

5 days ago

Athens, Attica, Greece iKnowHow S.A. Full time

iKnowHow Group is a leading Software & Robotics Solutions group of companies operating internationally for approximately 23 years.

iKnowHow utilizes state-of-the-art technologies and handles end-to-end internal and external project development, from conception to completion. The second pillar of the group is our Robotics & Innovation division, which focuses on the design and production of customized robots.

iKnowHealth, part of iKnowHow Group, is a product-based company that has developed a software solution used in the medical sector, particularly for radiology diagnostic equipment.

Blend Technologies, part of iKnowHow Group, is a brand-new Technology and Innovation solutions company, which brings bespoke services and solutions to drive the new Industry 4.0 era and holds a profound comprehension of the technologies shaping the future, Cloud, Cyber Security and AI.

We are seeking a talented and motivated AI/ML & Data Engineer to support the development of secure, scalable machine learning pipelines and data management systems for decision support and autonomous operations in defense and homeland security domains.

Responsibilities

  • Design, implement, and maintain end-to-end machine learning pipelines
  • Manage data ingestion, processing, cleaning, and annotation workflows
  • Support integration of third-party annotation and labeling tools
  • Automate experiment tracking and model versioning with appropriate tools
  • Ensure compliance with defense-grade data protection standards
  • Work with backend and AI teams to deploy models at scale (cloud/edge)
  • Monitor data quality, pipeline health, and performance metrics
  • Contribute to continuous model validation, system testing, and iterative enhancement
  • Participate in project documentation, code reviews, and technical reporting

Requirements

  • Bachelor / Master Degree in Computer Science, Data Engineering, or related fields
  • Proven experience of 4+ years in AI/ML development and data engineering
  • Familiarity with data lifecycle management and security protocols
  • Fluency in English is required
  • Experience in Python, TensorFlow, PyTorch, MLflow, DVC
  • NoSQL/SQL databases, Kafka, Docker, RESTful APIs
  • Experience with data labeling tools, data governance, and large dataset handling

Nice to have

  • Experience in collaborative R&D or EU-funded environments
  • Experience with real-time inference, ONNX, AI Act compliance, and GPU optimization

Benefits

  • An attractive salary package
  • Private health insurance plan
  • Career development and growth opportunities
  • An amazing private & open-office workspace in Athens #LI-Hybrid
  • Continuous training via personalized seminars
  • Stable and enjoyable working environment.

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