ML Robotics Engineer

📋 Description

• • Kiefer Tech, the dynamic technology arm of Kiefer, is at the forefront of innovation, harnessing over two decades of profound engineering heritage from the Green Energy sector to pioneer cutting-edge AI, robotics, and enterprise solutions. Our reach extends across Greece and the broader European Union, where we are dedicated to building sovereign AI infrastructure. This commitment ensures that all data remains within EU borders, upholding the highest standards of privacy while delivering measurable and tangible business impact. Our operations are fundamentally guided by a steadfast dedication to our core values: innovation, unwavering quality, and the cultivation of enduring, long-term client partnerships. Through these principles, we architect enterprise-grade AI infrastructure, develop the first true Greek Large Language Models, and engineer intelligent automation solutions designed to empower organizations and enable them to thrive in an increasingly complex digital landscape.
• • Our strategic and collaborative alliance with NVIDIA is a cornerstone of our approach. This partnership synergizes our deep expertise in sustainable infrastructure with NVIDIA's world-class AI technology. Together, we are forging an advanced ecosystem that not only fosters groundbreaking innovation but also significantly strengthens Greece's technological sovereignty. This synergy is instrumental in generating real, impactful change across a diverse array of industries. We invite you to join our visionary team and play a pivotal role in constructing the AI-powered world of tomorrow.
• • About The Role:
• • We are actively seeking a highly motivated and skilled Robotics and Machine Learning Engineer to become an integral part of our burgeoning Robotics Division. In this crucial role, you will be instrumental in the design, development, and implementation of sophisticated autonomous systems and specialized AI agents. This position is uniquely situated at the critical intersection of advanced robotics, artificial intelligence, geospatial intelligence, and intricate environmental modeling. Your primary focus will be on building innovative AI-driven solutions that seamlessly integrate machine learning, state-of-the-art computer vision techniques, powerful Vision-Language Models (VLMs), and cutting-edge foundation models with practical, real-world engineering applications.
• • You will engage in close collaboration with our multidisciplinary teams of engineers, contributing to the development of intelligent systems specifically tailored for critical applications within renewable energy projects, comprehensive environmental monitoring initiatives, and advanced autonomous inspection tasks. Your contributions will directly impact the efficiency, accuracy, and sustainability of these vital sectors.
• • What You Will Do:
• • Design, develop, and deploy sophisticated AI agents engineered to automate complex engineering workflows. A significant focus will be on hydraulic studies essential for renewable energy projects, encompassing detailed runoff analysis, precise water flow modeling, and the critical dimensioning of infrastructure components.
• • Build, train, and optimize advanced machine learning models using Python, leveraging powerful frameworks such as TensorFlow and PyTorch. These models will be applied to diverse areas including computer vision, sensor fusion for enhanced data integration, and sophisticated environmental monitoring applications.
• • Seamlessly integrate cutting-edge Vision-Language Models (VLMs) and advanced foundation models, such as NVIDIA Cosmos, into multimodal AI applications, enabling more intuitive and powerful human-machine interactions and data interpretation.
• • Work extensively with Earth Observation data, sophisticated remote sensing pipelines, and essential geospatial tools including Google Earth Engine, ArcGIS, and QGIS to derive actionable insights from large-scale environmental datasets.
• • Develop, refine, and automate hydrological models, utilizing industry-standard tools like HEC-HMS and HEC-RAS to simulate and predict water-related phenomena with high accuracy.
• • Utilize NVIDIA's advanced simulation platforms, including PhysX and IsaacSim/IsaacLab, to construct physically accurate simulations and create robust digital twins for testing and validation purposes.
• • Contribute actively to the development and enhancement of ROS2-based robotic systems. Comprehensive training will be provided for candidates who may require it, ensuring a smooth integration into our robotics ecosystem.
• • Foster strong collaborative relationships with robotics, AI, and environmental engineers, working synergistically to deliver integrated, production-ready solutions that meet the highest standards of performance and reliability.