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

What awaits you? You will actively work as a Data Engineer in the planning, implementation and validation of scalable back-end solutions for data-driven location-based services.In doing so, you will identify the necessary technical solutions and coordinate them within your own team and with other teams. In an international and interdisciplinary environment, you will work both on your own and together with partners. You will test your implementation not only through a high level of test automation and a CI pipeline, but also on real hardware and in the vehicle.

At Saloodo! we are looking for an experienced Data Scientist to join our rapidly growing dynamic Data & AI team and help us building the future of digital logistics. Transportation is all about efficiency, high performance, reliability and commitment. A perfect world to disrupt with data and technology-driven business models. Jump on board and let’s form the future world of logistics together! Your Responsibilities Being pro-active in applying and developing state-of-the-art and innovative machine learning/artificial intelligence technologies to pursue the vision and mission of Saloodo!

Als Data Engineer bei Studitemps hast du die Möglichkeit, unser vor kurzem gegründetes selbstorganisiertes und agiles Data Team von Anfang an zu unterstützen. Du arbeitest mit daran, eine datengetriebene Kultur im Unternehmen voranzutreiben und hilfst dabei, die Infrastruktur des Data-Lakes aufzubauen. Dabei gehen wir Use-Case-basiert vor. Mit deinem Team definierst du Messpunkte, um wichtige Unternehmensprozesse zu tracken und abzubilden. Die Aufgaben hören aber nicht bei der ETL-Pipeline auf. Darüber hinaus entwickelt du Datenprozesse und analysierst die erhobenen Daten.

Your Tasks Support to develop our ETL track processing 2 TiB data a dayFurther development of our reporting system in ADITION adservingWorking hand-in-hand with our system administration team for releasing new functionsCreating reports based on our customer requirementsAnalysing existing systems and their continuous improvement in teamworkYour Skills Computer science student or equivalent trainingFirst experience with at least one JVM programming languageWell-versed in using the linux shellBasic knowledge of NoSQL (Aerospike, Cassandra or HBase) and interest in real-time data processing (Storm, Spark) or MySQLTeamplayer, strong communication skills and curiosity Link: https://aditionag.

The Invia Group is a pan-European market leader in online travel sales and brings together leading travel portals in Europe under one roof. From package holidays to tailored tours, from business trips to family breaks, our offers for tourists serve a wide range of target groups. Among others, it operates the portals ab-in-den-urlaub.de, Hotelreservierung.de, fluege.de and Reisen.de. The virtual tour operator tourini organises package tours, which are offered via its own website and exclusively on the Group’s portals.

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?Then come and join our global team as Experienced Data Analyst (m/f/diverse) SHS A.

SimScale is an agile company delivering a complex software product to a diverse customer base. It is essential that our Marketing and Sales efforts are driven by quality data, and that stakeholders can easily investigate that data to make well-founded decisions. Your job as a Data Engineer is to understand our business processes, Marketing and Sales funnels, as well as our product, to ensure that we collect, correlate and maintain quality data from various sources.

Software Engineer (m/w/d) – Machine Learning / Deep Learning (Bachelor/FH) (AS-2019-089) Bewerbungsfrist 27. September 2019 Arbeitszeit Vollzeit Laufbahn gehobener Dienst Arbeitsort Gauting  (PLZ 821) Kennzahl AS-2019-089 Anforderungsprofil Abgeschlossenes Bachelor- bzw. Fachhochschulstudium der Informatik, der Elektro- / Informationstechnik oder vergleichbarIT-Fachkenntnisse aus folgenden Bereichen:Gute Kenntnisse in mindestens einer objektorientierten höheren Programmiersprache (z.B. Java, C++, …) sowie Kenntnisse in PythonGrundlegende Kenntnisse in Machine-Learning- bzw. Mustererkennungsverfahren oder der Informationsextraktion gesprochener Sprache sind wünschenswertSicherer Umgang mit gängigen Betriebssystemen, insbesondere LinuxKenntnisse im Umgang mit relationalen und nichtrelationalen DatenbankenErste Erfahrungen im Umgang mit agilen Softwareentwicklungsprozessen (z.

rheindata berät namhafte Kunden, vor allem aus dem Rheinland, bei der Konzeption und Implementierung analytischer Systeme auf Basis aktueller Technologien. Wir sind ein kleines, bürokratiefreies Unternehmen, dessen Entwicklung Du aktiv mitgestalten kannst. Das sind deine Aufgaben: Als Big Data Engineer (m/w/d) führst du zusammen mit Teams von namhaften Kunden komplexe Lösungen und Technologiekomponenten basierend auf dem Big Data stack ein. Mit einer eigenverantwortlichen, strukturierten Arbeitsweise entwickelst du zusammen mit Business Analysten Lösungen auf Kundensysteme, basierend auf abgestimmte, individuelle Anforderungen.

ABOUT THE TEAM Department: Zalando Lounge Reports to: Engineering Lead Team Size: >5 Recruiter Name, E-mail: Rime Asselman, rime.asselman@zalando.de As a Senior Data Engineer, you will be working with Analysts, Data Scientists and Product Managers across the business to design and implement processes that extract, transform, and load data, working with live data streams, managing and optimizing the data warehouse, and deploying machine learning models.   WHERE YOUR EXPERTISE IS NEEDED Develop, implement and maintain sustainable, high-performance data-processing and data integration pipelines using relational/columnar databases and ETL tools.

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.

At trivago we aim to enable our large user base to find the ideal accommodation for their travels and help advertisers (online travel agencies, hotel chains and hoteliers) to improve their performance on our website. We’re looking for a Data Science Team Lead to coordinate high impact topics that shape the interaction of users and advertisers on our platform, including the further refinement of our hotel ranking algorithm, the data-driven methodology to quantify the user experience of advertiser landing pages, and the development of approaches to discover and expose the best deals to our users.

You’ll join the heart of ABOUT YOU’s IT - the Backbone team. The system abstracts the complexity of dealing with more than 100 merchants in different countries by providing standardized access to products and stocks within our company. It provides the APIs which handle orders, shipments, returns etc. worth more than 1,000,000€ in total – every single day. Dealing with high volumes of data, continuously monitoring data flows and solving complex challenges are part of the team member’s day to day business.

With joy and pioneering spirit, we at Imnoo strive to use the opportunities of digitalisation to support CNC- and 3D-manufacturers of the MEM sector in their mission to make industry 4.0 reality. Become a part of our team and bring in your talents and know-how: together we shape the future of our customers. Your Playground: Development of efficient data-processing pipelines for managing CAD, 2D and unfiltered/filtered batch of data for Machine LearningDesign/Engineer/Take responsibility for cloud services, APIs, automated model training/deployment, build toolsTake responsibility for new prototypes, whole chunks of systems/layersGet in-depth knowledge of interconnected Cloud/Data/Computer Vision/ML services across multiple languages and platformsFurther development and maintenance of Optimization/Machine Learning servicesFurther development and maintenance of 2D/3D/CAD data analysisLead the development of 2D drawing/computer vision problem

Once here you will Mentor, lead and grow a team of data engineers that is responsible for building and maintaining Data Warehouse and Data Lake at N26.Shape the vision of how Data infrastructure at N26 evolves.Work closely with data analysts/data scientists and other groups to implement new ETL pipelines.Dive into the company’s data to analyze it, find patterns and play around in other ways.Working with other teams to support various Data needs of the company.

Wir suchen Verstärkung für unser außergewöhnliches Team bei „The unbelievable Machine Company.” Als Experten mit Hand, Hirn und Herz entwickeln wir präzise IT-Lösungen für die individuellen Herausforderungen unserer Kunden. Unsere Steckenpferde sind die Bereiche Big Data, Cloud Services und Hosting. Wir reduzieren komplexe Problemstellungen mit neuen Denk- und Handlungsansätzen und schlagkräftigen Technologien.  Wir sind keine Krawattenträger und dennoch hochgradig professionell. Darum erzielen wir außergewöhnliche Ergebnisse, wachsen seit Jahren kontinuierlich. Wenn du unsere Werte teilst und das „gewisse Etwas“ mitbringst, freuen wir uns auf deine Bewerbung!

We are looking for a motivated Data Engineer (m/f/x) joining our team of enthusiastic system engineers. Our data infrastructure is currently handling more than 10.000 requests per second and processing more than 1 TB of data each hour. Your main focus will be harvesting cloud- and container technologies including queueing, streams, distributed systems and data infrastructure.   As an expert for clean code, design patterns and software engineering best practices, you will help your colleagues to further build our data infrastructure.

For you it’s a leap in your career, for us it’s the future of finance! Founded in Berlin in 2014, finleap is Europe’s number one Fintech ecosystem. We are renowned for our fast execution in building successful, innovative and market-changing Fintech companies. Combining entrepreneurial execution, technological capabilities and diverse talent from over 60 different countries, finleap continuously challenges the status quo to reshape the way technology impacts the financial market. With 14 established ventures and new ones being launched each year, we have a wide variety of opportunities.

Your tasks • Recording and solving customer problems in different branches via ML/DM tools • Identifying data sources and researching technical questions • Consolidation from data and analysing results, such as visualization and recommendations for the ongoing procedure • Coordination from internal and external projects as well as creating and presenting of customer presentations • Planning and visualization of different project task Your skills • Successfully completed studies as a bachelor/master in computer science, business administration, mathematics or similar • Knowledge in the newest analytic procedures like Data Mining, Statistical Modelling and Machine Learning • Experience with Big Data technology, e.