Your new role – challenging and future-oriented Create and maintain optimal data pipeline architecture.Assemble large, complex data sets that meet functional/non-functional use-cases requirementsBuild the infrastructure and procedures required for optimal Extraction, Transformation, and Loading (ETL) of data from a wide variety of data sources.Build the data pipelines that support the data analytics aiming to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.Work alongside Data Scientists to productionalize advanced computer science algorithms based on statistical and machine learning models.

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.

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:

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?

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 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:

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.

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

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

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

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.

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.

Als eines der führenden Medienhäuser Deutschlands gestalten wir den digitalen Wandel aktiv. Unsere IT spielt dabei eine zentrale Rolle und zeichnet sich durch den Einsatz moderner Tools und Technologien aus. Du bist auf der Suche nach einer neuen Herausforderung, bei der Du mit Leidenschaft für den Bereich BI mit Gestaltungswillen und ausgezeichneten IT-Kenntnissen überzeugen kannst? Dann bieten wir Dir ab sofort eine spannende Tätigkeit als Senior Data-Engineer / BI-Developer (m/w) (Schwerpunkt Microsoft Azure-BI)

As part of the Hotel Search pillar, you are shaping the future of trivago’s main product to help our users to find the ideal hotel. You will join one of our agile engineering teams of smart, motivated and curious people and work on our AWS platform to deliver the best and most relevant data to our millions of users and other trivago teams by utilizing modern technologies like Apache Kafka, Kinesis, Lambda, Hadoop and Redshift.

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 love large data volumes and are enthusiastic about the technology-driven optimisation of shop logic? Then you are at the right place as a Machine Learning Engineer (f/m/d) at real.digital Your tasks – this is what awaits you in detail You will closely cooperate with our data engineers and business stakeholders to realise machine learning projects from initiation to endYou will choose emerging technologies and approaches to create high-performance machine Learning processing solutions and other data driven applications that scaleImplementation and development of data pipeline, algorithms, and data stores for a pioneering cloud-based big data applicationChallenging our status quo and helping us define best practices for how we workYour profile – this is what we expect from you

Would you book a hotel without knowing anything about it? Neither would we! Here at trivago, we want to provide our users with the best and most relevant information to help them find the ideal hotel. To achieve this, we build highly scalable data pipelines in AWS to collect data about millions of hotels. We are looking for experienced, entrepreneurial Software Engineers to help build and maintain our data pipelines and deliver data to our internal teams.

Once here you will As a Data Scientist, you have the opportunity to have a major impact on our data landscape and help us leverage the latest technologies to create an efficient data-driven FinTech productWork closely with the core backend engineers and other data scientists to design and maintain scalable data models and pipelinesDesign scalable, performance algorithms to provide better and more intelligent user experiencesPerform extensive exploratory data analysis and see beyond just the obvious data to provide valuable insights from user behaviour and transactional dataWhat you will bring along

To support our ambitious growth, we are now looking for a Data Scientist (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will 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 drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board

To support our ambitious growth, we are now looking for a Data Engineer (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will 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 drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board