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Data Scientist Machine Learning Engineer
2020-11-24 10:13:18| Space-careers.com Jobs RSS
Solenix is specialized in the provision of highquality software engineering, technical consulting and operations services in the aerospace domain. Data Scientist Machine Learning Engineer 202028 Job Description We are looking for a Data Scientist Machine Learning Engineer to join the Software Engineering Team in our offices in Darmstadt, Germany. Solenix is an independent and international company providing highquality software engineering, consultancy services and software products in the space market. Among our customers are space agencies like ESA and EUMETSAT. Our Software Engineering Team is specialised in the development and maintenance of web and mobile solutions and datadriven systems, including dashboards and visualisation tools, data analytics, event monitoring and alarming platforms. Our team is a group of motivated, dynamic and creative people who enjoy highquality work, as well as a relaxed and flexible atmosphere. You will be involved in all phases of the project lifecycle, from conception to implementation and final delivery, with a focus on Data Science aspects. This role has a lot of potential for career development depending on your skills and interests, for example, growing involvement in other company activities, such as supporting our business development activities with your technical expertise or contributing to the definition and evolution of our software products. Your main tasks will be related to Preparation of structured and unstructured data Feature selection, extraction and transformation and data analysis Use case analysis and prototyping Design and implementation of models and algorithms in the field of data analytics, including visualisation and reporting of results Integration and maintenance of developed solutions Required Skills and Experience University degree in a related field computer science, mathematics, physics or related Solid understanding of statistics, probability and Machine Learning Good knowledge of an objectoriented programming language, preferably Python or Java Experience with machine learning librariesframeworks and methods Experience in databases SQLNoSQL and in related technologies such as Spark and Hadoop Experience with data visualisation solutions such as D3.js, Plotly, etc. Strong analytical skills, curiosity and pragmatism Initiative and able to work independently and prioritise work appropriately Able to work in a collaborative and team environment Desirable Skills and Experience Experience with containerisation technologies Experience working in a continuous development continuous integration environment Work Location Darmstadt, Germany Dates Application Deadline 31 December 2020 Start of Work January 2020 or ASAP Important Notes Before applying to this position, please read the page Notes to Applicants on the Solenix website under Career. Applicants must be EU citizens or have a valid work and residence permit in Germany. Security, identity and reference checks on the candidates are part of the recruitment process. Job Application Please send your applications electronically to careersolenix.ch before the application deadline 31 December 2020 Learn more about us in Facebook
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Machine Learning Engineer
2020-10-19 11:14:49| 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
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GreenFlux, Eneco eMobility and Royal HaskoningDHV implement smart charging based on machine learning
2020-10-04 10:55:39| Green Car Congress
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Learning The Lines
2020-10-01 22:06:51| Country Lines Online
The job of an electrical lineworker is physically demanding, can involve long hours in emergency situations, and requires the utmost concentration and focus on safely dealing with life-threatening voltages. Often referred to as the first responders of electricity, lineworkers are vital to ensuring the lights stay on for all. Because of their essential role, ever-changing […] The post Learning The Lines appeared first on Michigan Country Lines Magazine.
How can telcos take the lead when it comes to innovation? Learning lessons from legacy giants
2020-09-24 02:00:00| Total Telecom industry news
“Connected Britain. The digital economy. Smart cities. Creating a digital infrastructure… All of this will require innovation from our largest enterprises,” said Ismail Amla, Chief Growth Officer at Capita, opening his presentation at Connected Britain 2020. Innovation is something very difficult to define, particularly in the telecoms space. Telcos and vendors are only too happy to pronounce their latest offerings as &lsquo…read more on TotalTele.com »
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