Have you dreamed of building the future? relayr has become Europe’s leading platform for the Internet of Things, enabling the interaction between diverse systems, and creating new scenarios in which we interact with the world around us. If you would like to work with a great team and technology to build the infrastructure for the next generation of connected devices… Then relayr is the right place for you! We have a cloud interoperability problem supported by a diverse mix of SDKs and APIs for both IoT hardware and Applications that want to access the data.
WORKING STUDENT OR THESIS FOR DEEP LEARNING MUNICH, GERMANY - ON-SITE HOW YOUR NEW TEAM WILL CHANGE THE WORLD At the team “Leap”, a tech innovation unit at Gini, we research the latest trends in Deep Learning and develop revolutionary AI solutions. You will join the innovators-force to support them with your ideas and high-quality code. YOUR PLAYING FIELD AT GINI Your mission is to research ways of combining Computer Vision and NLP approaches for information extraction from document imagesYou will implement Deep Learning solutions for information extraction from document imagesYou will actively contribute to our Semantics and Computer Vision departments with your knowledge of latest discoveries in the field of Deep LearningYou will preferably write a Master Thesis based on the results of your researchYou will be putting your excellent research skills to the best use whilst working on experimentsYOUR PROFILE
Develop Revolutionary Machine Learning Applications with us! We are a team of highly motivated software architects and mathematicians with diverse backgrounds – from machine learning, routing algorithms, and signal processing to compiler technology and mathematics. We combine our knowledge to advance CeleraOne’s machine learning models and applications every day. Job Description - Modelling industrial processes using advanced machine learning methods - Utilizing modern machine learning frameworks: Google TensorFlow, scikit-learn, pandas, and more
The Starmind Zurich team is looking for a skilled data scientist, who will join us in creating and innovating world-leading machine learning technologies. Here is a selection of tasks that you would handle over the course of a typical week as a part of the Starmind Team: Create prototypes and investigate their performance, thereby growing initial ideas into production-ready features.Work closely together with the Scrum team to implement new innovations in a robust and scalable way.
Major duties and responsibilities: Contribute to the development of Machine/Deep Learning applications using state art machine learning frameworks to advance and verify INAIT’s workflowTechnical survey of Machine/Deep learning algorithms and technologyEssential skills and experience required: Professional experience in developing Machine/Deep Learning applications, including CNN/RNN networksProfessional experience in the use of Deep Learning frameworks such as TensorFlow, Caffe, pyTorch, … to build machine learning applicationsExperience with text, image and sound data setsProfessional experience in developing Python codeProfessional experience in different phases of the software development life-cycle, including unit testing, continuous integration, version control, debugging and documentationProfessional experience using UNIX/Linux operating systemsGood team playerFluent spoken and written EnglishPreferred:
Do you love big data and analytics? Do you have a strong passion for empirical research and for answering hard questions with data? If yes, you will love working at MiNODES. At the core of our data analytics pipeline we apply advanced machine learning techniques to position people inside our customers’ stores based on wifi signals. We are constantly improving these algorithms and are experimenting with new state-of-the art technologies (e.
You Are Ready To Make An Impact As Zalando transforms from a pure online retailer to a fashion platform, we bring fashion competency and branding expertise to the game by connecting all the players in the industry: consumers, stylists, designers, brands, influencers, and, online and offline stores. By providing a bold mix of global brands, local designers and specialist labels, we create fresh concepts, high-impact campaigns, smart applications and innovative partnerships.