Deep Learning DevOps
Sick Ivp AB / Datajobb / Linköping
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hela Sverige Visa alla jobb hos Sick Ivp AB i Linköping SICK is a world-leading supplier of sensors and sensor solutions for industrial applications. We have more than 10,000 employees in 50 countries and our head office is located in Freiburg, Germany. SICK in Linköping is an innovation center for Machine Vision and we are 85 committed employees with a great interest in software development, image analysis and visualization. For more than 35 years, we at SICK in Linköping have successfully developed and delivered software for technology-leading products in 2D and 3D vision, as well as system solutions for e.g., robot control and quality control.
• Do you know cloud DevOps, Python and maybe Typescript?
• Are you curious about or interested in Deep Learning?
• Are you looking for challenges in a great workplace with technology and innovation that will be used all over the world?
Then a role as a developer in our Deep Learning Cloud team at SICK Linköping may be the right one for you!
About the job
The group we are looking to reinforce works with various aspects of Deep Learning, from the development of new network architectures, cloud services for advanced data management and training of deep networks to hardware-accelerated inference on our built-in industrial cameras and systems. The team is a specialist team that works internationally with colleagues, especially in Germany.
This role focuses on development of an annotation and training service that is hosted centrally and in the cloud. The tasks include new development, DevOps and quality assurance of these tools and services for Deep Learning.
We are looking for you who
• Like working in a self-directed team with close dialogue with product management and other teams.
• Is driven by developing new and exciting technology and making it accessible to people without deep prior knowledge.
• Is curious about Deep Learning, or maybe even has experience in the field.
• Have knowledge in the operation and development of cloud solutions. We use Docker, Kubernetes, Python and Angular to develop our cloud services and knowledge in these technologies is therefore advantageous.
We can offer you
• Work with modern and interesting technologies and tools.
• Possibility to have a considerable influence on the development path.
• A truly friendly workplace where emphasis is placed on a culture of low prestige and helping each other. It's important for us to have fun at work!
• We are at the forefront of innovation and development by always testing new things.
SICK is an international company and contact with developers all over the world is a natural part of the work. At SICK Linköping we are very proud of our work to be a healthy and attractive workplace. For several years, most recently in 2021, we have been named one of Sweden's best workplaces according to the survey Great Place to Work. We work actively to reduce our climate footprint and we engage in various ways to contribute to society and increase diversity and well-being in our workplace.
Curious about our Deep Learning tools and solution?
Have a look at the links below:
https://dstudio.cloud.sick.com/https://www.youtube.com/watch?v=0Us-dSCfUKwhttps://www.youtube.com/watch?v=5RaFXHs1qyghttps://www.youtube.com/watch?v=Xl3nb_6MQgghttps://www.youtube.com/watch?v=H5KSeOPVb88https://www.youtube.com/watch?v=tiAsmnsJqw0For more information about the position contact:
Ola Friman, Head of R&D Machine Vision,
ola.friman@sick.se, 013-36 21 43,
or
Charlotte Axelsson, HR Manager,
charlotte.axelsson@sick.se, 0739-209950.
Please submit your application no later than 2022-08-15. We make ongoing selections and appoint the position as soon as we have found the right person.
Varaktighet, arbetstid
• -
Publiceringsdatum2022-06-28ErsättningEnligt överenskommelse
Så ansöker duSista dag att ansöka är 2022-08-15
Klicka på denna länk för att göra din ansökanFöretagSICK IVP AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Sick Ivp AB (org.nr 556257-8723)
Arbetsplats Sick Ivp
Jobbnummer 6780285
Observera att sista ansökningsdag har passerat.