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, AI, and big data, COTESA develops web and mobile applications to optimize resource management, improve urban planning, and support precise market studies—driving technological advancement toward a more efficient and sustainable future. The Challenge You’ll tackle real-world problems where hardware constraints, latency, and environmental conditions are critical—taking AI models from research to operational deployment in the field. Key Responsibilities Develop advanced real-time (near real-time) computer vision algorithms for video. 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. Contribute to designing AI architectures for distributed and real-time processing systems. Collaborate on R&D projects related to autonomous perception, intelligent surveillance, and defense. Requirements for Success Education No specific degree required; relevant backgrounds include mathematics, physics, computer science, telecommunications, or other technology fields related to big data or robotics. Complementary studies in big data, AI, ML, DL, generative AI, and real-time video/image computer vision are highly valued. Familiarity with multi-spectral sensors (RGB-NIR-Thermal), LiDAR, or SAR is desirable. Background in robotics, autonomous systems, or perception is valued. Experience with CNNs, Residual Networks, RNNs, and Vision Transformers is valued. Research experience in AI and GitHub contributions are 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 (not just static images), including protocols (RTSP, RTP) and libraries (OpenCV, GStreamer, FFmpeg). Design of near real-time / low-latency systems. Experience in video dataset preparation, labeling, and management. Model optimization for production (TensorRT, ONNX). Edge inference on NVIDIA Jetson (highly valued). Techniques: quantization, pruning, GPU usage. Embedded systems experience for drone or robot integration. Data analysis: ML/DL algorithms and tools (TensorFlow, PyTorch, scikit-learn). Programming: Python and C/C++. Bonus Points (We’d Love to Know!) Knowledge of artificial neural networks (ANN), Anaconda, and Docker. GIS, remote sensing, and geospatial analysis skills: QGIS, GDAL, ArcGIS, Rasterio. Proactivity and initiative are highly valued. 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: To support personal time and professional-life balance. Career development opportunities: Join advanced tech projects in a learning-driven environment. Tailored training plan: Access to specialized training to further develop technical skills. Growth in a dynamic company: Work in an innovative setting where technology and talent evolve together. At GRUPO TECOPY, we are committed to fair, objective talent evaluation based solely on skills, experience, and potential to contribute to our success. We reject all forms of discrimination and actively promote diversity, ensuring equal treatment and opportunities for all employees. detected_language: es