As part of our Business Intelligence Team you will support us in developing and optimizing our pricing algorithm in times of sales campaigns & seasonal price reductions. Every day, millions of people all over Europe enjoy shopping at our online shop & enjoy getting inspiration for brand new styles – even better if there’s a nice sale campaign running!
Our goal is to determine the most intelligent price based on various variables and business models.
To revolutionize the future of transportation, one has to go one step further and set standards today. Smart technologies which are strongly taking over driving tasks and providing improved safety and comfort are already in place in our commercial vehicles today. But our vision is that “We make transportation smart”. So, we need visionary thinkers and creative developers as well as experts in the fields of data engineering, machine learning, artificial intelligence, sensor technology and software development to achieve this vision.
The world of esports is experiencing explosive growth and with that growth comes a wealth of opportunities. In a billion-dollar industry, where data is king, we at Bayes Esports Solutions have claimed our place as the newest market leader. Join us in the heart of Berlin, where startup culture meets metropolitan living, and work with top talent from all over the world.
With our cutting-edge technology-driven products, we solve real issues that esport organizers, teams and media companies are facing every day.
About us
StackFuel is Germany’s first provider of practical online training courses in the field of data analytics and data science. Within the context of the widespread digital transformations that are taking place, Stackfuel prepares large corporations, medium-sized companies and start-ups to make sure that they are able to work effectively in a data-driven working environment. For this, the StackFuel team relies on the cloud-based training environment Data Lab, the award-winning training environment that has been developed in-house by Stackfuel.
The world of esports is experiencing explosive growth and with that growth comes a wealth of opportunities. In a billion-dollar industry, where data is king, we at Bayes Esports Solutions have claimed our place as the newest market leader. Join us in the heart of Berlin, where startup culture meets metropolitan living, and work with top talent from all over the world.
With our cutting-edge technology-driven products, we solve real issues that esport organizers, teams and media companies are facing every day.
IMAGINE - What you will work on:
The aim of AIT’s Transport Infrastructure team is to develop solutions for tomorrow’s mobility.You will develop software and configure new measuring systems for monitoring systems used in research (e.g. video systems/laser scanners for our high-performance measurement vehicle RoadSTAR) and conduct in-depth data analyses with the data obtained.ENGAGE - Your day-to-day work
You implement high performance data processing applications which are used by our researchers to produce data products ranging from road infrastructure assessment to simulation data.
Our product and mission
Our core product, HoloBuilder.com, is a web based editor allowing users to create digital twins of (construction) projects. Users can import their 2D floor plans or 3D BIM models and document the current project status using 360° pictures. Additionally, we are offering our customers automatic image analysis via deep learning, embedding task management systems, 3D measuring in 360° pictures, virtual site inspections and more.
Your role in our team
Möchtest du verantwortungsvolle Aufgaben übernehmen?
Aufbereitung, Management und Analyse von Daten in einer Big Data UmgebungWeiterentwicklung des Daten-Analyse-FrameworksDaten-Analyse inkl. Qualitätssicherung mit Standard- und KI-AlgorithmenAbleitung von Anforderungen zur weiteren Verbesserung der AnalyseergebnisseEntwicklung von Prognose- und Pattern-Recognition-Modellen mit klassischen undMachine-Learning-MethodenIntensive Zusammenarbeit mit SoftwareimplementierungDein Profil
Erfolgreich abgeschlossenes Studium der Informatik, Mathematik, Physik oder vergleichbarer FachrichtungSehr gute Kenntnisse von PythonErfahrung in der Analyse komplexer DatenSehr gute Kenntnisse der Library pandas, sowie der Machine Learning Frameworks TensorFlow, Scikit-Learn und SciPySehr gute SQL-Kenntnisse, Django ORM-Kenntnisse wünschenswertSehr gute Kommunikationsfähigkeiten – du wirst im intensiven Austausch mit den Domänen-Fachexperten stehen und Verbesserungen umsetzenAusgeprägte analytische FähigkeitenGute Deutsch- und Englisch-Kenntnisse Link: https://www.
Your tasks:
Develop, improve, test and deploy new Firmware for our Numberplate Recognition Hardware for seemles parking
Assure high code quality
Team development: code reviews, peer programming
Lead a team of Juniors/Working Students
Your profile:
You graduated in Computer Science, Electrical Engineering or similar
You have gained a lot some work experience and know how to develop hardware/IoT Products
You have very good C++ skills, know something about Hardware and if needed write some Python scripts
Job ID: 183598
Ort: Muenchen
Organisation: Digital Industries
Art der Anstellung: Permanent / Full-timeDigitaler Mehrwertschaffer.Unsere Big Data Scientists holen aus den Daten das, was andere nicht einmal sehen können: Lösungen, Potenziale, Visionen. Aus riesigen Mengen an Informationen filtern sie die wirklich relevanten heraus, um diese optimal zu nutzen. So helfen sie dabei, die Produktion in Fabriken, den Verkehr in unseren Städten oder den Transport auf den Schienen noch effizienter zu machen.
ABOUT US
The idea for delicious data was born when we had a late lunch at our cafeteria and there was still plenty of food available. That was the moment when we started to think about how kitchens plan their menus and numbers of meals. In Germany alone, restaurants and other food service businesses throw away roughly 2 million tons of food every year. One main reason for this problem is overproduction due to uncertain guest demand.
Aufgaben
Für unser junges Big Data Team suchen wir Verstärkung! Entwickeln Sie gemeinsam mit uns die neue Tchibo „leading edge“ BI-/Big-Data-Architektur weiter! Durch moderne Open-Source-Software und skalierender Cloud-Infrastruktur arbeiten Sie in diesem jungen Bereich an einem Realtime-fähigen Event Data Lake. Auf dieser Basis werden leistungsfähige und hochverfügbare „Data Services“ wie z.B. neue Self-Service BI Portale, Realtime-Scorings oder Machine Learning Modell mit unseren Data Scientists sowie den Fachbereichen entwickelt. Von der Anbindung von Datenquellen mit strukturierten/unstrukturierten Daten, über die Datenintegration und der Bereitstellung einer Machine Learning Infrastruktur für unsere Data Scientists, bis hin zu unseren Analyse-Tools und -Frontends entwickeln wir hoch performante Daten-Pipelines und Streaming-Architekturen.
Your playing field
Your mission is to drive the work of our “Artificial Intelligence Lab”, thriving for the highest possible quality in document extractionYou translate our company wide goals into an overall AI tech strategy, providing focus & directionYou support agile processes to coordinate and prioritise the tasks of the AI teamYou lead and mentor the AI team, motivating your coworkers to deliver high quality workYou act as an input-giver that also assist operatively, if necessaryYou will actively support the growth of the AI Team and help us find the brightest tech talentYour profile
As a Machine Learning Engineer (m/f/d) at Smaato you build the interface between the Data Scientists and Data Engineers, working mostly with TensorFlow, Python and AWS Sagemaker to translate state-of-the-art algorithms from proof-of-concept stage to production-ready solutions.
Due to our cutting edge platform processing an average of 20 billion inbound advertising queries per day, and each of these incoming requests generate multiple outbound requests to our partners, we are talking about more than 12 terabytes of data running on our platform daily.
Your playing field
Your mission is to drive the work of our “Artificial Intelligence Lab”, thriving for the highest possible quality in document extractionYou translate our company wide goals into an overall AI tech strategy, providing focus & directionYou support agile processes to coordinate and prioritise the tasks of the AI teamYou lead and mentor the AI team, motivating your coworkers to deliver high quality workYou act as an input-giver that also assist operatively, if necessaryYou will actively support the growth of the AI Team and help us find the brightest tech talentYour profile
Hi. Wir sind InVision.
Seit 1995 entwickeln wir unsere eigenen Softwareprodukte, die weltweit von zehntausenden Contact-Center-Mitarbeitern genutzt werden. Unsere Workforce-Management-Software und E-Learnings helfen unseren Kunden, den Einsatz und die Weiterbildung ihres Personals zu optimieren.
Dabei wollen wir immer besser werden und uns gemeinsam weiterentwickeln. Bei uns findest Du nicht nur genug Freiraum für Deine kreative Entfaltung, sondern auch eine Kultur, die von Teamwork, Leidenschaft und Vertrauen geprägt ist.
Für unser Team im Düsseldorfer Medienhafen suchen wir Dich als Data Scientist.
Your tasks – this is what awaits you in detail
As Data Scientist (f/m/d) at real.digital you will drive forward the further development of the marketplace on the basis of data: Working as part of a team you will develop complex data products which will be incorporated into business processes and generate added value for the businessDeveloping applications and models for analytical approaches and for data-driven algorithms, such as classifications or other data mining and machine learning applicationsImproving product data through the use of text and image analysisRecognising patterns, clusters and correlations, e.
Für München suchen wir eine/n Machine Learning Engineer (m/w/d)
Du findest, dass Elektroautos die Zukunft sind? Für Dich ist Programmieren mehr als nur ein Job und Du kannst Projekte vorweisen, auf die Du besonders stolz bist?
Wir ermöglichen es durch einen digitalen Zwilling, den Gesamtzustand von Lithium-Ionen-Batterien in Elektrofahrzeugen in Echtzeit präzise zu analysieren und ihre Lebensdauer vorherzusagen.
Das klingt spannend für Dich und Du willst uns dabei unterstützen? Dann bewirb Dich bei der TWAICE-Familie!
Hi. Wir sind InVision.
Seit 1995 entwickeln wir unsere eigenen Softwareprodukte, die weltweit von zehntausenden Contact-Center-Mitarbeitern genutzt werden. Unsere Workforce-Management-Software und E-Learnings helfen unseren Kunden, den Einsatz und die Weiterbildung ihres Personals zu optimieren.
Dabei wollen wir immer besser werden und uns gemeinsam weiterentwickeln. Bei uns findest Du nicht nur genug Freiraum für Deine kreative Entfaltung, sondern auch eine Kultur, die von Teamwork, Leidenschaft und Vertrauen geprägt ist.
Für unser Team im Düsseldorfer Medienhafen suchen wir Dich als Data Scientist.
Worum geht es?
Wir analysieren Daten, entwickeln statistische Modelle und wenden sie an.
Dabei setzen wir Machine Learning und Deep Learning Methoden u.a. in den Bereichen Natural Language Processing, Vision und Automation ein.
Deine Technologien
Sehr gute Kenntnisse in Python oder einer anderen Programmiersprache wie C/C++.Erfahrung mit ML-Frameworks wie Tensorflow, Keras, PyTorch oder Caffe.Erfahrung mit Cloud Computing Umgebungen wie AWS, Azure oder GCP.Docker, CUDA und RESTful API sollten für dich keine fremden Begriffe sein.