Get AI-powered advice on this job and more exclusive features. Space-Eyes provides GEOINT tools for data collection, aggregation, anomaly detection, predictive analytics, threat evaluation, visualization, dissemination, and notification. Utilizing spatio-temporal reasoning, users can review maritime contexts, build special use cases, and support specific missions. The GEO-SPATIAL library leverages Sentinel-1 and Sentinel-2 data, with plans to include data from other SAR sensors like NovaSAR. We aim to address challenges in global littoral areas, particularly the real-time abridgment of maritime areas and determining the intent of unknown surface targets. Our unclassified online portal, hosted on Amazon Web Services, offers users near real-time access and a comprehensive maritime domain knowledge base. Company Description Space-Eyes provides GEOINT tools for data collection, aggregation, anomaly detection, predictive analytics, threat evaluation, visualization, dissemination, and notification. Utilizing spatio-temporal reasoning, users can review maritime contexts, build special use cases, and support specific missions. The GEO-SPATIAL library leverages Sentinel-1 and Sentinel-2 data, with plans to include data from other SAR sensors like NovaSAR. We aim to address challenges in global littoral areas, particularly the real-time abridgment of maritime areas and determining the intent of unknown surface targets. Our unclassified online portal, hosted on Amazon Web Services, offers users near real-time access and a comprehensive maritime domain knowledge base. Role Description This is a full-time, on-site role for a Machine Learning Engineer, located in Medellín. The Machine Learning Engineer will be responsible for developing and implementing machine learning models, working with neural networks, conducting data analysis, and improving algorithms. Daily tasks include designing and optimizing predictive models, collaborating with a multidisciplinary team, and managing large datasets for pattern recognition and statistical analysis. Qualifications Pattern Recognition and Neural Networks skills Strong foundation in Computer Science and Algorithms Proficiency in Statistics Excellent problem-solving and analytical abilities Experience with data processing and machine learning frameworks Strong programming skills in languages such as Python or R Familiarity with tools and platforms like TensorFlow, PyTorch, and AWS Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Space-Eyes by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. Fullstack Engineer (work from home in Medellin, Colombia) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr