AI Engineer with GIS Expertise

Company Centro de Observación y Teledetección Espacial (COTESA) specializes in Earth observation and innovative solutions for Smart Cities, Smart Mobility, and urban planning. Leveraging remote sensing, artificial intelligence, and big data, COTESA develops web and mobile applications that optimize resource management, enhance urban planning, and support precise market studies—driving technological advancement toward a more efficient and sustainable future. What Challenges Will You Face? You’ll tackle real-world problems where hardware constraints, latency, and environmental conditions are critical—taking AI models from research to field-deployable operational systems. Key Responsibilities Develop advanced real-time (near real-time) computer vision algorithms applied to video streams. Design and implement object detection, classification, and multi-object tracking systems in video sequences. Build perception solutions for mobile platforms (drones, autonomous vehicles, embedded sensors). Optimize AI models for real-time inference on edge devices (e.g., NVIDIA Jetson, onboard systems). Integrate computer vision models into video streaming pipelines (RTSP, GStreamer, etc.). Develop automatic tracking systems using deep learning and/or classical methods. Participate in defining AI architectures for distributed and real-time processing systems. Collaborate on R&D+i projects related to autonomous perception, intelligent surveillance, and defense. Requirements for Success Education No specific degree required; candidates with degrees in mathematics, physics, computer science, telecommunications, or other technology-related fields (especially in Big Data or Robotics) are welcome. Complementary studies in Big Data, AI, Machine Learning (ML), Deep Learning (DL), Generative AI, and real-time video/image computer vision are highly valued. Knowledge of multi-spectral sensors (RGB-NIR-Thermal), LiDAR, or SAR is desirable. Background in robotics, autonomous systems, or perception is valued. Experience with Convolutional, Residual, Recurrent Networks, and Vision Transformers is valued. Research experience in AI and active use of code repositories (e.g., GitHub) is valued. Experience Solid experience in AI/computer vision, including: - Object detection (YOLO, SSD, Faster R-CNN) - Segmentation (Mask R-CNN, U-Net) - Multi-object tracking (Deep SORT, ByteTrack, OC-SORT) - Detection association over time, motion estimation, and re-identification (ReID) Experience with video streaming vision models (not just static images), using protocols like RTSP/RTP and libraries such as OpenCV, GStreamer, FFmpeg. Experience designing near real-time / low-latency systems and managing video dataset preparation and labeling. Model optimization for production (TensorRT, ONNX), inference on edge devices (NVIDIA Jetson is highly valued), and techniques like quantization and pruning. Familiarity with embedded systems for integration with drones or robots. Proficiency in ML/DL algorithms and tools: TensorFlow, PyTorch, Scikit-learn. Programming skills in Python and C/C++. Bonus Points Knowledge of Artificial Neural Networks (ANN), Anaconda, and Docker. GIS, remote sensing, and geospatial analysis skills: QGIS, GDAL, ArcGIS, Rasterio. Demonstrated proactivity and initiative are highly appreciated. What We Offer You We want this professional experience to contribute to your well-being and growth: Remote work & flexible hours: A work model that supports work-life balance and allows autonomous, responsible scheduling. Intensive summer schedule: So you can enjoy personal time and maintain professional-personal equilibrium. Career development opportunities: Join advanced tech projects in a learning-driven environment. Tailored training plan: Access to specialized training to continuously develop your technical skills. Growth in an innovative company: Work in a dynamic setting where technology and talent evolve together. In our talent selection process, we strive to ensure fair and objective evaluation of each candidate based solely on skills, experience, and potential to contribute to the company’s success. We reject all forms of discrimination and actively promote diversity, committed to equal treatment, equal opportunities, and the eradication of discrimination in the workplace.