Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere
Who are we? Nanos is an online platform that makes placing paid advertisements a straightforward process accessible to any small & micro business around the world by delegating all the heavy lifting to our AI. We are a privately owned Swiss startup based in Zurich - a dynamic fast-growing team of software engineers, UX designers, machine learning developers and business experts. Who are we looking for? As part of our growth we are expanding our engineering team and looking for a Senior Machine Learning Engineer (to lead our ML efforts and to join us in our journey towards building a great experience for our customers and solving some of the most complex problems in Online marketing and online paid advertising.
Who are we? Nanos is an online platform that makes placing paid advertisements a straightforward process accessible to any small & micro business around the world by delegating all the heavy lifting to our AI. We are a privately owned Swiss startup based in Zurich - a dynamic fast-growing team of software engineers, UX designers, machine learning developers and business experts. Who are we looking for? As part of our growth we are expanding our engineering team in Zurich(Switzerland) and looking for a Software Engineer with applied Machine Learning experience to join us in our journey towards solving some of the most challenging problems in online paid advertising.
Your tasks - Paint the world green You are our truffle hunter, who quickly finds a way through complex datasets and recognizes opportunities to grow and to optimizeYou filter growth relevant information from our BI/tracking systems and convert complexity into simplicityYou analyze our data systems and algorithms for customer relationship management and customer behavior modeling; you solve our complex business challenges with creative insightsYou use statistical models to answer real-life questions like; “What are the effects of price changes and how to adjust marketing spend (e.
Senior Expert Machine Learning (m/w) (Köln) › OBI next Mit „OBI next“ am Standort Köln hat OBI als Nr. 1 unter den Bau- und Heimwerkermärkten eine innovative Geschäftseinheit gegründet und mit einer wichtigen Mission ausgestattet: die Transformation in ein neues, kundenzentrisches sowie kanalübergreifendes Geschäftsmodell. Dafür bietet OBI next ein einmaliges Arbeitsumfeld, in dem die Stärke eines Großkonzerns mit der Agilität und dem Spirit eines Startups kombiniert wird. Du entwickelst aus unseren Daten neue Produkte und stiftest dadurch Mehrwert für unsere Kunden.
To support our ambitious growth, we are now looking for a Principal Data Scientist (M/F/X) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board
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
Join our Identity team and help improve trivago user’s experience through ensuring coverage, quality and accuracy of accommodation content & advertiser matching. We are looking for someone who is interested in leveraging machine learning techniques to help ensure continual improvements in our complex matching process. In addition, you will drive the definition of consolidation algorithms amalgamating and ranking data from multiple big-data sources. You will work in a cross-functional team to create and optimize a matching and content consolidation service.
Do you strive to apply Machine Learning on real world challenges? Do you dream of translating your ideas into action? Ownership and self-responsibility don’t scare you off and you fancy complex algorithms? Come work with us! Celonis is one of the fastest growing tech companies worldwide. We are pioneers in process mining, an exciting big data technology, that breaks silos and enables companies to transform their business. Using our machine learning algorithms, our customers are enabled to get even more profound insights into their processes and acquire the information they long for to change the game.
Viastore entwickelt und verkauft Intralogistiklösungen in Form von Hardware und einer Warehouse Management Software-Lösung. In unseren Intralogistikanlagen bei den Kunden vor Ort werden jeden Tag enorme Datenmengen produziert. Diese möchten wir nutzen, damit unsere Kunden ihre Anlagen besser verstehen und wir bereits reagieren können, bevor technische Probleme entstehen. Sie haben spontan viele Ideen, wofür wir die Daten noch nutzen könnten? Als „Macher“ sind Sie bei uns genau richtig: Für unseren neu gegründeten Bereich „Business Intelligence“ sind wir auf der Suche nach einem Data Scientist, der Lust darauf hat in einem kleinen Team die Data-Science-Landkarte mitzugestalten!
We are recruiting on behalf of our client Automotive Artificial Intelligence (AAI) GmbH, an artificial intelligence start-up that develops cutting-edge technology products for autonomous driving. (Senior) Machine Learning Developer (m/f) Job Code KE002SO Function Software Development Location Berlin The Company For their clients in the automotive sector the company provides products which generate traffic scenarios dynamically based on real HD maps. In view of this, our customer is hiring self-driven people with diverse backgrounds in areas such as machine learning, computer vision, game programming and sensor simulation.
We are offering you an exciting role as a software engineer (f/m) in the field of machine learning. Join one of our agile features teams to develop sophisticated algorithms for autonomous driving. Contribute to the autonomous vehicle being able to orient itself, assess situations and select the most appropriate and comfortable driving strategy – even in urban environments. Use your expertise to participate actively in all development phases from prototyping in Python, using state-of-art machine learning frameworks and ROS, to writing C++ code that runs in the final production vehicles.
Rasa is the leading open source machine learning toolkit. Our software lets developers expand bots beyond answering simple questions, via natural language understanding. SUMMARY We’re looking for extraordinary machine learning researchers to join us at Rasa. ABOUT THIS ROLE We don’t draw a hard line between our research and engineering teams, we all work on the same stack and share work, knowledge, and tools. The driver for our research is this: what would help developers build great conversational software?
Aufgaben Du führst spannende und herausfordernde Projekte durch und gestaltest zusammen mit unseren Kunden die Zukunft im Automotive und Manufacturing.Su begleitest Kundenprojekte von der ersten Idee, über Konzeption bis hin zur agilen und flexiblen RealisierungDu analysierst Geschäftsprozesse und deren Daten und entwickeln innovative Anwendungen und Lösungen für unsere Kunden in den oben genannten ThemenfeldernDu generierst aus großen un-/strukturierten Datenmengen relevante Informationen zur Optimierung der Geschäftsmodelle unserer KundenDu modellierst Geschäftsprozesse und fachlich/technische Designs mit besonderem Schwerpunkt auf die IT und Usability (UI/UX)Du steuerst Arbeitspakete und Module in erfolgskritischen IT-Umsetzungsprojekten und übernimmst ab dem ersten Tag im Projekt VerantwortungDu bereitest Kundenworkshops und Meetings vor und gestalten diese aktiv mitDu unterstützt aktiv das ProjektmanagementQualifikationen
Market research is the original data driven business. Incubated and spun-off from a university, we have earned the trust of the world´s biggest companies and leading brands - for more than 80 years. Today, everything at GfK starts and ends with Data and Science We are proud of our heritage – and our future: Currently we’re on a transformational journey from a traditional market research company to a trusted provider of prescriptive data analytics powered by cutting edge technology.
Our mission The future of mobility is shared and autonomous. With electric and self-driving vehicles hitting the roads in the coming years, we are working towards a revolution in urban mobility and increasing the quality of urban life by reducing traffic and emissions. It’s on us to create remarkable products and services around thousands of autonomous vehicles that bring people to their destinations quickly, safely and as conveniently as possible.
You and Your Role We’re looking for a generally nice and smart person to join our development and research team in Berlin. You have an academic background in machine learning and at least 3 years of hands-on industry experience.You consider yourself a Data Scientist beyond just using BI tools.You can verify your findings with sound & solid statistics.You’ve implemented different ML algorithms yourself and know which toolboxes offer well written variants of them.
Become the Sherlock Holmes of the web and help our clients to detect the fraudsters among their customers. In this never ending race, we are fighting the bad guys with technology! As a Data Engineer (m/f/d) at RISK IDENT, you will be working in one of our (FRIDA) product teams. You will help to develop the machine learning backend services for our products, written mainly in Scala. Based on a scalable platform for real-time data processing, insights and models are turned into the production code that forms the backbone of our fraud prevention solutions.
SUMMARY We’re looking for exceptional MSc & PhD students to join us as interns at Rasa. We’re open to full-time commitments of a few months. We’re an early stage startup, which means you’ll get experiences & responsibilities that you wouldn’t get interning anywhere else. ABOUT THIS ROLE The core of your role is designing, implementing, and training algorithms that drive conversational software, and furthering your skills working with an incredible team.
Who are we? Nanos is an online platform that makes placing paid advertisements a straightforward process accessible to any small & micro business around the world by delegating all the heavy lifting to our AI. We are a privately owned Swiss startup based in Zurich - a dynamic fast-growing team of software engineers, UX designers, machine learning developers and business experts. Who are we looking for? As part of our growth we are expanding our engineering team and looking for a Machine Learning Engineer (ML Engineer) to join us in our journey towards building a great experience for our customers and solving complex challenges.