About the company:

Kiefer Tech , the technology arm of Kiefer , leverages over 20 years of engineering heritage from the Green Energy sector to deliver cutting-edge AI, robotics, and enterprise solutions across Greece and the EU. We build sovereign AI infrastructure that keeps data within EU borders, respect privacy, and delivers tangible business impact. Guided by our core values: innovation, quality, and long-term client partnerships, we create enterprise-grade AI infrastructure, the first true Greek Large Language Models, and intelligent automation solutions that empower organizations to thrive. Our strategic collaboration with NVIDIA combines sustainable infrastructure expertise with world-class AI technology, creating an ecosystem that fosters innovation, strengthens Greece’s technological sovereignty, and generates real impact across industries. Join us and help build the AI-powered world of tomorrow.

About The Role:

We are looking for a Robotics / Machine Learning Engineer to join our Robotics Division and contribute to the design and development of autonomous systems and specialized AI agents.

This role sits at the intersection of robotics, AI, geospatial intelligence, and environmental modeling. You will work on building AI-driven solutions that combine machine learning, computer vision, Vision-Language Models (VLMs), and foundation models with real-world engineering applications.

You will collaborate with multidisciplinary engineering teams to develop intelligent systems for renewable energy projects, environmental monitoring, and autonomous inspection.

What You Will Do

• Design and develop AI agents that automate engineering workflows, particularly hydraulic studies for renewable energy projects (runoff analysis, water flow modeling, infrastructure dimensioning)
• Build and train machine learning models in Python (TensorFlow / PyTorch) for computer vision, sensor fusion, and environmental monitoring
• Integrate Vision-Language Models (VLMs) and foundation models such as NVIDIA Cosmos into multimodal AI applications
• Work with Earth Observation data, remote sensing pipelines, and geospatial tools (Google Earth Engine, ArcGIS, QGIS)
• Develop and automate hydrological models (HEC-HMS, HEC-RAS)

What We’re Looking For

• Strong background in Machine Learning and Computer Vision
• Advanced Python development skills
• Experience with ML frameworks (TensorFlow or PyTorch)
• Familiarity with geospatial analysis or environmental modeling
• Ability to work across AI systems, simulations, and engineering workflows
• Strong problem-solving skills and structured thinking

Nice to have:

• Experience with robotics systems
• Knowledge of ROS2
• Experience with hydrological modeling tools
• Exposure to simulation environments (PhysX, IsaacSim)

What is there for you:

• Hybrid office set up / Remote work
• Competitive compensation package
• Group medical health insurance plan
• The opportunity to experiment and learn a cutting-edge AI technologies
• Work on cutting-edge AI and robotics projects with real-world impact
• Build autonomous systems for renewable energy and environmental applications
• Opportunity to shape next-generation AI-driven robotics with real-world impact