40 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" positions at European Space Agency in Netherlands
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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infrastructure, including facility blueprints and model factories. Proficiency in the integration of automation technologies, including robotics, real-time data analytics, artificial intelligence/machine learning
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the ability to drive your team's performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; Conflict resolution: proficiency in
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hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During the recruitment process
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Disclaimer Applicants must be eligible to acquire the security clearance by their national security administrations. Please note that applicants will be required to undergo psychometric testing and other
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orientation, ethnicity, religious beliefs, age, disability or other characteristics. Important Information and Disclaimer Applicants must be eligible to acquire the security clearance by their national security
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information, technology, and hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During
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encouraging learning, delegating responsibility and giving regular and constructive feedback; Strong problem-solving skills to deal with day-to-day operational challenges, together with demonstrated planning
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control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During the recruitment process, the Agency may request applicants to undergo
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the deployment, utilisation and evolution of corporate information systems; coordinating the Directorate’s knowledge management and lessons learned activities as well as any activities related to personal data