Posts List

System Engineer Machine Learning (f/m/div)* at Infineon (Munich, Germany)

Would you like to get creative with Machine Learning techniques? Do you want to work technically and support others? Infineon’s central R&D department is expanding its competence center that supports other departments to implement Machine Learning. As a System Engineer you will work in an international and multicultural environment. Also, you will get deep insights into our organization - since application areas can be found across all of our divisions and range from development methodologies to the chips’ actual functionalities.

Senior Data Scientist (m/w/divers) Machine Learning at Siemens (Munich, Germany)

Job ID: 92085Ort: MuenchenOrganisation: Digital FactoryArt der Anstellung: Permanent / Full-timeEntwickeln, was morgen wichtig ist.Die Welt steht nie still. Und jeden Tag kommen neue Herausforderungen hinzu. Wir sehen darin eine Chance, uns ihnen zu stellen. Zum Beispiel, indem wir fragen: Wie kann das Leben der Menschen verbessert werden? In Tokio genauso wie in Tallinn, Marrakesch oder Miami. Helfen Sie uns bei der Suche nach den passenden Antworten. Entwickeln Sie gemeinsam mit uns, was morgen wichtig ist.

Data Scientist (m/w) München at birkle IT AG (München, Deutschland)

Wir sind ein Team junger Softwareentwickler und entwickeln Software-Lösungen zu aktuellen Themen wie Industrie 4.0, AI, Big Data und Robotik. Unser Büro liegt in unmittelbarer Nähe zum Englischen Garten. Wir digitalisieren Unternehmen und suchen daher tatkräftige Unterstützung. Was du mit an Skills mitbringst ist uns wichtig, viel wichtiger ist Deine Einstellung und der Wille, Dinge zu verändern und neue Technologien anzunehmen.  Ab sofort suchen wir einen Data Scientist (m/w) für unseren Standort München.

Data Engineer (Paris, Berlin and/or Zurich) at PriceHubble AG (Zürich, Switzerland)

As a data engineer, your mission will be to build and maintain our extract-transform-load infrastructure which consumes raw data and transforms it to valuable real estate insights. Your daily challenges will be to mine a wide range and variety of new datasets of all sort, build new datasets, extract and create new features. These features and insights are either directly used as part of our product or as a signal in our machine learning algorithms.

Data-Ops Engineer Python, AWS, SQL (m/w/d) at SPRING | Axel Springer (Berlin, Deutschland)

SPRING is responsible for over 60 products from more than 25 Brands and some of Europe’s biggest news sites including BILD.de and WELT.de. Over 350 people at SPRING are working on an innovative media platform to make quality journalism accessible for everyone. We are providing a great user experience on both sides – for readers and journalists, connecting them with the newest technologies. Together with BILD.de and WELT.de we are reaching more than 20m users every day and our data pool is growing constantly.

Data Engineer at TrustYou (München, Deutschland)

Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou! We are looking for adventurers to join our smart and inspiring team! TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. And it’s our data engineers that make this happen!

(Senior) Machine Learning Developer (m/f) at Automotive Artificial Intelligence (AAI) GmbH (Berlin, Deutschland)

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.

Senior Data Engineer at Ultra Tendency (Berlin, Deutschland)

Lead your own development team and our customers to success! Ultra Tendency is looking for someone who convinces not just by writing excellent code, but also through strong presence and leadership.  At Ultra Tendency you would: Work in our office in Berlin/Magdeburg and on-site at our customer’s officesMake Big Data useful (build program code, test and deploy to various environments, design and optimize data processing algorithms for our customers)Develop outstanding Big Data application following the latest trends and methodologiesBe a role model and strong leader for your team and oversee the big picturePrioritize tasks efficiently, evaluating and balancing the needs of all stakeholdersIdeally you have:

Reinforcement Learning Engineer for Autonomous Driving (f/m/x) at BMW Group (München, Deutschland)

We are offering an exciting position as a (Senior) Software Developer (f/m) in the field of reinforcement learning. Calling on your sound knowledge of reinforcement learning, you will independently develop new concepts and algorithms for motion planning and decision-making. You will be responsible for implementation and evaluation in simulations as well as in final testing with real test vehicles. Integration of the algorithms in a distributed software architecture means that much of your work will entail collaborating within a large team of machine learning-experts.

(Senior) Machine Learning Engineer for Autonomous Driving (f/m/x) at BMW Group (München, Deutschland)

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.

Machine Learning Researcher at Rasa (Berlin, Germany)

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?

(Senior) Data Engineer - Data Science Team at idealo internet GmbH (Berlin, Deutschland)

The position provides the opportunity to work on a wide range of interesting topics from operationalizing deep learning models to training recommender systems on petabytes of data. As part of the data science team, you will be also given a lot of responsibilities to shape the direction of the team. If you would like to become part of this success story, please send your application. About your new roleYou will be part of the data science team and work closely with our data scientists to operationalize machine learning pipelinesYou will develop and implement effective data processing architecturesYou will also collaborate a lot with the data warehouse and data platform teamYou will participate at meetups, conferences and the research community and apply what you’ve learned back at your daily workSkills & RequirementsA deep understanding of distributed computing frameworks such as Spark (particularly SparkML, SparkSQL, tune/optimize and debug Spark jobs), Hadoop and/or FlinkExperience with big data at AWS, in particular using EMR and S3Experience with Docker and container orchestration like Kubernetes, Swarm or similarExperience with pipeline management tools like Airflow, Luigi or NiFiExperience with programming languages such as Python, Go and/or ScalaGood knowledge of SQL/RDBMSExperience with the command line, shell scripting and version control (Git)Excellent communication skills in English, both oral and written; German is nice to havePreferably experience with automatic configuration management like Terraform and PuppetPreferably experience with modern agile software development practices like microservices, test-driven development, pair programming, CI/CD etc.

Lead Software Engineer - Big Data at Ultra Tendency (Berlin, Deutschland)

Lead your own development team and our customers to success! Ultra Tendency is looking for someone who convinces not just by writing excellent code, but also through strong presence and leadership.  At Ultra Tendency you would: Work in our office in Berlin/Magdeburg and on-site at our customer’s officesMake Big Data useful (build program code, test and deploy to various environments, design and optimize data processing algorithms for our customers)Develop outstanding Big Data application following the latest trends and methodologiesBe a role model and strong leader for your team and oversee the big picturePrioritize tasks efficiently, evaluating and balancing the needs of all stakeholdersIdeally you have:

Solution Engineer Machine Learning (f/m/div) at Infineon (Munich, Germany)

Are you passionate about Machine Learning and Artificial Intelligence? Do you want to enable Machines to become “smarter” and to deduce findings from data on their own? Infineon products are the link between the digital and the real world and we constantly look for smart and enthusiastic people to shape the future! Do you want make an impact, too? Then join our team as a Solution Engineer! What you should be passionate about:Developing Algorithms for smart lighting applications with AI/ML for various sensors (e.

Data Engineer - Data Platform (M/F/X) at FlixBus (Berlin, Germany)

About the team:  We are responsible for building the data platform. We are highly focused on simplicity and ease of use by all data-oriented users. We are a strong enabler of our data-strategy: make the right data easily available to everybody for high-quality decisions.  Our tech stack: Scala, Java, everything with Kafka (Streams, Connect, KSQL,…), Akka, Spark, Flink, Docker, K8s, Play, Slick, AWS Services (eg. EMR,S3), NewRelic, JUnit, ScalaTest, ScalaSpec

Senior Data Engineer (m/f/d) at FlixBus (München, Germany)

We’re looking for a motivated and driven Senior Data Engineer (m/f/d) who will help us shape our team, drive the company to the next level, and have the most direct influence on our success. Your Tasks – Paint the world green You will work with cutting-edge technologies and tools including:ScalaJavaF#C#PythonYou will be responsible for building a data platform for running big data workloads at scale, collecting and combining data from various sources and help our product development teams consume dataYou consult and support the data platform users in creating high performance data-driven analysis or applicationsYou are responsible for establishing a Data Catalogue: registering and documenting ingested, stored and processed data Through your daily work and projects, you contribute to the overall success of the team, product and companyYour Profile – Ready to hop on board

(Senior) Data Architect (w/m/d) at TÜV SÜD Digital Service GmbH (München, Deutschland)

Aufgaben Konzeption und Umsetzung (Rapid Prototyping) von Datenflüssen, -modellen und -schnittstellen im Analytics- sowie im Machine Learning-UmfeldUse Case-getriebene und agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists und Data EngineersDefinition, Kommunikation und kontinuierliche Weiterentwicklung interner DatenstandardsErarbeitung sowie Beschreibung von Datenkatalogen und -lebenszyklenDefinition und technische Umsetzung von Maßnahmen zur Sicherung der Datenqualität über den gesamten DatenlebenszyklusEnge Zusammenarbeit mit dem Cyber Security Team bei der Anwendungsfall-basierten Betrachtung von DatensicherungsmaßnahmenVerfolgung von Trends im Analytics- und Data Governance-UmfeldMitwirkung bei Definition der Datenstrategie des TÜV SÜDQualifikation

Data Scientist (w/m/d) at TÜV SÜD Digital Service GmbH (München, Deutschland)

Aufgaben Konzeption und Umsetzung (Rapid Prototyping) skalierbarer Modelle sowie Analysen für Big Data- und Internet of Things-DatenprodukteBearbeitung großer Datenmengen mit state-of-the-art Data Science-Methoden, wie z. B. Machine Learning, Classification, Clustering, Time Series Analysis und Pattern SearchUse Case-getriebene sowie agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists, Data Engineers und Data ArchitectsZielgruppengerechte Kommunikation der Ergebnisse mit den Geschäftsbereichen der TÜV SÜD Gruppe und deren KundenDefinition der Anforderungen an Verbesserung der Datenqualität im Rahmen der AnwendungsfälleVerfolgung von Trends im Data Science-, Analytics- und Big Data-Umfeld sowie Mitwirkung bei strategischen Initiativen des TÜV SÜDQualifikation

Data Engineer - Streaming Technology - Hadoop, hdfs, Java, Python at Zattoo (Berlin, Germany)

Zattoo is creating the future of television, live and on demand.  We build apps for mobile, web and big screens like Apple, Android, Samsung, Amazon Fire TV, Xbox One and many more. The RoleData is a core advantage of OTT / unicast TV over traditional broadcast. We know exactly what content our viewers watch, how popular a show and how many seconds of each and every ad campaign is viewed.  At Zattoo we are already reading a lot of our data, but we do not want it anymore, as we believe in the power of data.

Data Engineer Cloud (m/w/d) at Breuninger GmbH & Co. (Stuttgart, Deutschland)

Fashion und Lifestyle, 5.500 Mitarbeiter, 11 Department Stores, 1 E-Shop, 1000 Marken, 20 Restaurants & Confiserien, 15 erstklassige Services und stets ein besonderes Einkaufserlebnis – das ist Breuninger. Aufgaben Das Data Platform Services Team ist verantwortlich für den Betrieb sowie die Weiterentwicklung der Data Platform bei Breuninger. Die Plattform ist die Arbeitsgrundlage analytischer Prozesse, die unternehmensrelevante KPIs erarbeiten und diese in Dashboards abbilden. Außerdem werden Daten für operative Systeme bereitgestellt und regelmäßig neue Datenfeeds (intern wie extern) angebunden, welche die Genauigkeit der Insights verbessern.