Daten haben bei der Vision von OBI vom Baumarkt der Zukunft einen hohen Stellenwert. Wir wollen unsere Kunden bei Ihren DIY-Vorhaben bestmöglich unterstützen. Dies können wir unter anderem mit intelligenten Datenprodukten erreichen. Daher bauen wir nun zusätzlich zu Data Analytics und Data Engineering ein explizites Data Science Team auf. Wenn Du den Baumarkt der Zukunft mitgestalten möchtest und Spaß daran hast etwas Neues mitaufzubauen, bist Du bei uns richtig.
Deine Aufgaben
We are CARIAD, an automotive software company and part of the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. Soon, we’ll be a team of more than 5,000 software developers and engineers, building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year.We’re looking for talented, digital minds like you to help us create code that moves the world.
Valora Digital is the tech unit of Valora, a European retailer with more than 2’700 stores. We are a team of engineers, designers, entrepreneurs, growth marketers and product managers that tackle projects that delight customers, improve processes and make the company ready for the future of retail. We call ourselves builders & doers instead of thinkers & talkers because we pride ourselves on taking ownership of projects from A to Z and not letting anything get in the way of shipping.
YOUR MISSION
Shape the vision of Hypatos AI products, based on Deep Learning technologyFacilitate the Machine Learning and Engineering teams to manage uncertainties in the innovative technological area based on the anticipated customer needsRepresent the voice of end customers for data scientists and Machine Learning engineers, data factory, and product delivery team Prioritize among multiple projects and working tasks while working closely with cross-functional stakeholders, esp. product delivery, application development, and system engineering/DevOpsBuild a product portfolio and maintain product roadmaps Plan product components development, that includes providing API, integration with user-facing part of the solutionDefine use cases based on the customer journey and business needsEnsure delivered product features will provide optimal business valueYOUR PROFILE
Das erwartet Sie bei uns
Gemeinsam mit unseren Kollegen und Kolleginnen beraten Sie unseren Kunden zum Einsatz von Maschinellem Lernen und Künstlicher Intelligenz in seinen Software-Lösungen.
Sie analysieren die Machbarkeit von AI/ML-Projekten des Kunden unter dessen Gegebenheiten (z.B. Datenmenge und -qualität).Dabei schätzen Sie den Aufwand sowie die technischen Anforderungen für geplante AI/ML-Lösungen.Sie entwerfen für unseren Kunden passende Architekturen unter Einsatz der gängigen ML-Frameworks und Modelle.Sie sind an der technischen Implementierung in den Projekten beteiligt und kümmern sich um die, auf die Kundenbedürfnisse abgeschnittene, Weiterentwicklung bestehender AI/ML-Lösungen.
With us you support large and medium-sized companies from all over Switzerland in designing their data universe. Together with our customers, you will design a data science portfolio in order to be able to extract the maximum value from the data assets. You develop scalable ETL pipelines and data lake or data warehouse architectures based on the Google Cloud Platform. You will support customers in evaluations and in the development of creative, data-driven specialist applications and tailor-made reporting solutions.
Mission
As a ML Engineer in the engineering department, you will be working on our key business challenges. The solutions you provide will have a large impact on our success and on our partners’ success. Understanding the buying data from millions of customers is something you love and predicting their best fitting product is your Christmas. And using the latest technologies to normalise product data as well as finding a way to automise data queries is your dream job.
Teraki is a Berlin-based, tech-driven company enabling true low-latency mobility by solving the big-data problem for autonomous driving.
We stand for innovation in the rapidly developing connected car, self-driving, and 3D mapping worlds. Teraki provides data reduction and data processing solutions for Automotive (IoT) applications which enable the launch of new applications by reducing costs. With that we help our customers in the challenges that are posed by the data to be computed in (connected) cars for all sensors, video and 3D point cloud data.
Motius ist ein Forschungs- und Entwicklungsunternehmen mit einer einzigartigen Organisationsstruktur: wir kombinieren ein festes Kernteam (ca. 70 Mitarbeiter) mit einer interdisziplinären Tech-Community (ca. 800 Mitglieder) von Softwareentwicklern, Ingenieuren, Designern und Elektrotechnikern und bauen so Produkte und Prototypen in den neuesten Technologiebereichen (u.a. A.I., Blockchain, AR/VR und vieles mehr).
Unser Core Team ist das Rückgrat des Unternehmens und verantwortlich dafür, dass wir sowohl auf technischer als auch auf Business Seite wachsen. Wenn deine aktuelle Berufsbezeichnung Deep Learning Consultant, Machine Learning Consultant, Technical Product Manager oder Product Owner ist, solltest du weiterlesen.
To expand our team, we are looking for a data scientist to join the R&D division that develops sensor fusion solution for the autonomous driving application.
Your responsibilities:
Join the research and development team, and contribute to the development and optimization of the current software Design and develop complex algorithms and functions for sensor fusion applications Develop new applications based on concrete automotive customer specifications and integrate these into Teraki’s main product line Preform benchmark tests and evaluate the performance and capabilities of the developed algorithms and codes Help to deploy the code into the core product by working in close collaboration with our software developers and data scientists What we are looking for:
Location
Vienna (Austria). Full time. No remote, no outsourcing.
Description
We are looking for a research engineer in the field of machine learning for signal processing. The primary role is to research and develop alternative and combined methods and algorithms to our proprietary framework for audio enhancement, microphone array processing, acoustic echo cancellation, and speaker recognition.
Qualifications
– Master or PhD degree in Electrical Engineering or equivalent.
– Proven record of international publications as first author on support-vector and deep-learning regression.
Motius is a research and development company with a unique organizational structure: we combine a solid core team (approximately 70 employees) with an interdisciplinary tech community (approximately 800 members) of software developers, engineers, designers and electrical engineers to build products and prototypes the latest technology areas (including App/Web, A.I., Blockchain, AR / VR and much more).
As Senior Deep Learning Engineer you’re part of our A.I. Cluster and join our diverse R&D projects (each ~3-9 months duration) in small and agile teams as Lead Engineer.
Wir suchen ab sofort oder zu einem späteren Zeitpunkt eine:n
Machine Learning Engineer / Data Engineer*
*Gender, Herkunft etc. sind keine Bewertungskriterien. Hauptsache, du bist genauso technologiebegeistert wie wir.in Teilzeit oder VollzeitStandorte: Karlsruhe, Pforzheim, Stuttgart, München, Köln oder Hamburg.
Du findest Daten genauso faszinierend wie wir und möchtest unsere Kunden bei der Digitalisierung ihres Kerngeschäftes unterstützen? Dann bist du bei inovex genau richtig! Denn wir freuen uns jeden Tag neu darauf, Zusammenhänge in großen Datenmengen zu erkennen und Erkenntnisse für unsere Kunden abzuleiten.
re:ceeve is a well funded FinTech start-up based in Hamburg, run by seasoned founders. We are recruiting individuals looking to put their dent on the world and in the collections space. We believe that our software has the potential to completely disrupt credit lifecycle management and take it in a new direction by automating obsolete processes using AI and harvesting data to impact the top line. Further, we want to reimagine the industry ground up based on software sales versus collection fees.
At Audatic, we are shaping the future of hearing experience using state-of-the-art deep-learning and unique datasets. Our technology allows noise-free interactions in busy places which is crucial for people with hearing impairment. Our work helps to improve lives.
As we are growing, we are searching for an experienced Software Engineer / Data Scientist who enjoys creating beautiful software frameworks and working with large datasets. As part of our software engineering team you will get the opportunity to immerse yourself in cutting-edge research while working very closely with the Deep Learning team to implement a supporting infrastructure.
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.
Wir suchen ab sofort oder zu einem späteren Zeitpunkt eine:nSenior Machine Learning Engineer
Dein Geschlecht ist uns unwichtig, hauptsache du bist technologiebegeistert.
in Teilzeit oder Vollzeit.
Standorte: Karlsruhe, Pforzheim, Stuttgart, München, Köln und Hamburg.
Wer wir sind:
Im Geschäftsbereich Data Management & Analytics helfen wir unseren Kunden, aus Daten wirtschaftlichen Nutzen zu generieren. Wir integrieren heterogene Datenquellen in klassische Data- Warehouse- Strukturen und multidimensionalen Analysemodellen, entwerfen und implementieren Big-Data-Plattformen und Realtime-Szenarien und verwenden innovative Suchtechnologien.
Get to know us
eyeo is an open-source software company that builds products like Adblock Plus, Adblock Browser and Flattr. By leveraging distribution partnerships, we bring ad-blocking technology everywhere, giving users control over their online experience while offering creators, publishers and advertisers more ways to earn money for the free content they provide.
In combining our reach based on distribution partnerships and our own products, our technology runs on over 150 million devices.
Motius ist ein Forschungs- und Entwicklungsunternehmen mit einer einzigartigen Organisationsstruktur: wir kombinieren ein festes Kernteam (ca. 70 Mitarbeiter) mit einer interdisziplinären Tech-Community (ca. 800 Mitglieder) von Softwareentwicklern, Ingenieuren, Designern und Elektrotechnikern und bauen so Produkte und Prototypen in den neuesten Technologiebereichen (u.a. A.I., Blockchain, AR/VR und vieles mehr).
Unser Core Team ist das Rückgrat des Unternehmens und verantwortlich dafür, dass wir sowohl auf technischer als auch auf Business Seite wachsen. Wenn deine aktuelle Berufsbezeichnung Machine Learning/Deep Learning Engineer, Projektmanager, Produktmanager, Scrum Master oder Product Owner ist, solltest du weiterlesen.
Automating machine operation in manufacturing requires extensive data analysis. Our technology extracts up to 15 GB of structured manufacturing data per day and per machine. Your task will be to build algorithms that are reproducible for different types of machinery for typical errors and will detect relevant anomalies within the data.
A couple boxes to tick:
Passionate about Data Science and extracting valuable insights out of complex data structures.You have experience in the data science project lifecycle, from data exploration, data cleaning, and feature engineering to building and tuning models.