Hybrid ML Robotics Engineer

at KIEFER

• Job title: ML Robotics Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Remote Sensing, Tensorflow
• Location requirements: Hybrid, Athens, Greece

About the role

• Robotics / Machine Learning Engineer designing AI-driven solutions for renewable energy projects. Engage in multidisciplinary collaboration to develop autonomous systems and intelligent applications.

Responsibilities

• 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)
• Use NVIDIA PhysX and IsaacSim / IsaacLab to build physically accurate simulations and digital twins
• Contribute to ROS2-based robotic systems (training provided if needed)
• Collaborate closely with robotics, AI, and environmental engineers to deliver integrated, production-ready solutions

Requirements

• 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)

Benefits

• 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