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Machine Learning Engineer

2020-08-17 14:11:23| Space-careers.com Jobs RSS

WHO ARE WE? GMV www.gmv.com is a technological and engineering company with an international presence employing more than 2300 staff. Founded in 1984, GMV works in many different sectors, like Space, Defense, Telecommunications, Security and Transportation. GMV provides systems and solutions, specialist hitech products and services. Our activities take in the whole life cycle, the design and development of software and hardware, integration of systems and subsystems, verification and testing, operational support and maintenance. We are one of the worlds top suppliers working for space organizations and agencies and also for the major satellite manufacturers and operators covering the whole range of activities and services within the space sector like flight segment, navigation, ground segment, data processing and operational support. GMV currently runs 8 work centers in Spain and offices in France, Germany, Malaysia, Poland, Portugal, Romania, USA, Colombia and United Kingdom. We recruit and hire excellent engineers, and encourage innovation, technical excellence and continuing education. Our engineers regularly present papers at technical conferences, continue their education and we reinvest more than 12 of budget in IRD projects. This striving for excellence, innovation and flexibility is part of our culture. JOB DESCRIPTION Responsibilities Duties Tasks If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in different areas. Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services IBM Watson, AWS AI, Google AI, etc., and big data architectures to respond to the needs of a society that is evolving more and more rapidly. GMV is looking for a highly motivated MSc software engineer with specific background and interest in the application of Artificial Intelligence and Machine Learning techniques to space applications. You will be primarily enrolled to work on GMVs space debris and space flight dynamics activities in the frame of projects with ESA and UKSADstl making extensive use of AIML for diverse applications. Required knowledge If you want this position to be yours, we would like you to have the following knowledgeexperience Artificial Intelligence Machine Learning Relational databases SQL Programming SW Engineering Python Desirable Knowledge Project Management FortranJavaC Orbital Mechanics Space Debris Environment WHAT DO WE OFFER? The possibility to work in an international team, with innovative projects. We also give you the chance to develop your career abroad in our many other working centers. Professional Career Development. We help you directing your career, starting from a technical base, passing through the team and project management, the technical expertise or the commercial area, keeping contact with our clients. Its up to you! Access to the companys training program. You can acquire and sharpen your knowledge in the technologies we use, as well as your language skills. Social benefits. Flexible working schedule, and possibility to work from home. Possibility to participate in team activities and sports competitions with us. Our personnel policies guarantee equal treatment of all our staff and encourages diversity, from the jobselection process and then throughout their whole careers in the company. If you would like to work in an interesting, fun, fastpaced, challenging, diverse and global company which is growing rapidly, please send us your resume to httpsgmv.csod.comuxatscareersite4homerequisition112?cgmv For more information about GMV, please visit our website at www.gmv.com and our positions at httpsgmv.csod.comuxatscareersite4home?cgmv

Tags: learning machine engineer machine learning

Machine Learning Engineer

2020-07-31 16:12:17| Space-careers.com Jobs RSS

GMV www.gmv.com is a privatelyowned technological enterprise group with an international presence employing more than 1,700 staff. Founded in 1984, GMV mainly operates for both public and private organizations in eight large sectors Aeronautics, Space, Defense, Health, Security, Transportation, Telecommunications and Information Technologies. GMV currently runs work centers in Spain, Portugal, UK, France, USA, Germany, Poland, Romania, Malaysia. JOB DESCRIPTION Do you have passion to stay up to date with developments in the deep learning field? We are looking for a highly motivated engineer to join our UK Machine learning team. You will work on an array of innovative projects focused around the development of deep learning based systems If you are able to work with the team to turn these developments into innovative and exciting project ideas, contact us! Your profile Msc or PhD in a STEM subject Python Numpy, Pandas, etc. Deep Learning PyTorch TensorFlow Experience working in Linux environments What do we offer in return? The opportunity to join a pioneering team of the UK Space Industry The possibility to work in an international team, with innovative projects Professional Career Development in the country and abroad. We help you directing your career, starting from a technical base, passing through the team and project management, the technical expertise or the commercial area, keeping contact with our clients. Its up to you! Access to the companys training program. You can acquire and sharpen your knowledge in the technologies we use, as well as your language skills. Possibility to participate in team activities and sports competitions with us. Flexible workinghours, private medical insurance, pension scheme, fresh fruits and nice colleagues! If you would like to work in an interesting, fun, fastpaced, challenging, diverse and global company which is growing rapidly, please send us your resume to jobsgmv.com For more information about GMV, please visit our website at www.gmv.com and our positions at www.gmv.comenEmploymentVacancies

Tags: learning machine engineer machine learning