AI/ML & Data Engineer

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.