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:

Daten sind das neue Gold der Digitalisierung – helfe unseren Kunden zu Wettbewerbsvorteil. Du willst coole Software-Lösungen mit leading-edge Technologien rund um Advanced Analytics und Machine Learning bauen und damit Blue Chip Firmen wie PostFinance, Helsana, Swiss Re oder SBB helfen sich über Daten auf dem Markt zu differenzieren. Du suchst Herausforderung und Innovation. Dann arbeite in einem abwechslungsreichen und inspirierenden Projektumfeld in cross-funktionalen Teams. Was wir für dich tun People First – Mitarbeitende stehen bei ipt an erster StelleJeder kann sich einbringen und Verantwortung übernehmenWissen wird geteilt und wir unterstützen uns gegenseitigUnser einzigartiger Teamspirit wird aktiv gelebtWas du bei uns tust

Eines der Leitkonzepte der DLR-Luftfahrtforschung ist das “Virtuelle Produkt”, mit dem Ziel der hochgenauen mathematisch-numerischen Darstellung eines fliegenden Vehikels mit all seinen Eigenschaften über den gesamten Lebenszyklus hinweg. Voraussetzungen hierfür sind unter anderem multidisziplinäre Simulationsverfahren und Prozessketten, die auf eine effiziente Nutzung künftiger Hochleistungsrechnuner ausgerichtet sind. Auch werden spezifische Herausforderungen an die Entwicklung von Softwaremethoden sowie an das Management und die Analyse sehr großer Datenmengen gestellt. Das neu gegründete Institut für Softwaremethoden zur Produkt-Virtualisierung befasst sich mit der Forschung und Entwicklung dezidierter Softwaremethoden und Technologien zur Realisierung des Virtuellen Produkts.

Delivery Hero is building the next generation global online food-ordering platform. Our highly international team already operates in over 40 countries worldwide to ensure hungry customers get to their favorite takeaway food the fastest way possible. The company has grown from its inception in 2011 to become the world’s largest food-ordering network. This is an exciting time for Delivery Hero with rapid growth in countries, market size and opportunities. Our ideal candidate will be enthusiastic, innovative and good at getting things done.

About HEREHERE is a leader in navigation, mapping and location experiences and our technology is used in many places. If youve ever checked in on Facebook, youve used HERE. Or, if you have in-car navigation, youve probably had our help getting where youre going -over two thirds of the worlds cars, from Ford to Ferrari, use our software. And every time you receive a package from Amazon or FedEx, weve helped guide it to your door.

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 

Take part in the digitalization of well-known brands. Webtrekk is a customer intelligence platform that allows our customers to connect, analyze and activate their user and marketing data across all devices. Founded in 2004, Webtrekk is driving innovation in high-end Digital Analytics and today has more than 150 employees in 5 locations around the world to set new benchmarks in Digital Marketing. We help our customers to be more successful with data science driven products - less good decisions, more data driven decisions.

Data Analyst (m/f) Dresden | full-time Your tasks Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, long-term trends, user segmentation, regression models and moreIdentifying, translating, prioritizing and informing important product questions with dataSetting up, analyzing and promoting good practices for multivariate experimentsWorking with engineering to implement, document, validate and monitor our logging and metricsCrafting simple, dependable data pipelines and automated reporting to surface metricsWorking towards creating a data-informed culture at LOVOOWe offer

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.

About As a Data Engineer at RISK IDENT, you will be a member of our FRIDA ML team. This team is developing one of our products based on a scalable platform for real-time data processing, analysis and prediction, turning insights and models into the production code that forms the backbone of our fraud prevention solutions. The Data Engineer role at RISK IDENT combines Data Science and engineering skills, with a very strong focus on the latter.

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a YARN/Hadoop cluster of more than 60 machines. In the next phase of development, we are planning to re-design more parts of our Big Data system to make them work in real-time. This will involve the usage of some cutting-edge technologies and also the challenge to extend the on-premise cluster to the cloud.

Tasks:  In the core processes of our business divisions, large data volumes are created on whose basis our “Big Data, Machine Learning, Artificial Intelligence” department optimises processes that increase product quality and develops new products and services. As part of your role as a Machine Learning Engineer, you will process data and provide them to end-to-end projects and use cases. For this purpose, you will specify the requirements from use cases in collaboration with specialist departments and data scientists and will subsequently develop suitable IT solutions together with further partners in agile projects.

As you know, SAP’s vision is to help the world run better and improve people’s lives. As THE cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries Run Simple. We empower people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

Careem is a leading ride sharing app operational in over 80+ cities. With 30% monthly growth, we are one of the fastest growing companies in our region. Our recipe for success has been a team that thrives on challenges and is passionate about solving problems.  After our recent investment of $500m, we are now the 180th unicorn globally and scaling at the speed of lightning We like to describe Careem as the “data science paradise”, as we are working on most of the data science problems one can encounter.

About Us Beat is a platform that transforms the way people move in their cities. Tap on a button on your smartphone and you get a ride in just a few minutes. In early 2017 Mytaxi, a subsidiary of Daimler A.G, acquired Beat. Beat started its life as Taxibeat, 6 years ago in Europe and 3 years ago expanded its operations to Peru where it serves millions of rides every single month.

About Us Beat is a platform that transforms the way people move in their cities. Tap on a button on your smartphone and you get a ride in just a few minutes. In early 2017 Mytaxi, a subsidiary of Daimler A.G, acquired Beat. Beat started its life as Taxibeat, 6 years ago in Europe and 3 years ago expanded its operations to Peru where it serves millions of rides every single month.

SAP’s vision is to help the world run better and improve people’s lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

SAP’s vision is to help the world run better and improve people’s lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.