POSITION SUMMARY
BCG Gamma is seeking a Machine Learning Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of different machine learning disciplines, e.g. anomaly detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. We are looking for machine learning engineers to join the ML effort for our teams, building ML-based systems, tools, and services that serve as infrastructure for our internal and external clients.
Data Engineer / Developer
Terakiis a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world.Terakiprovides data reduction and data processingsolutionsfor Automotive (IoT) applications and enables the launch of new applications by reducinghardware footprint, latency andcosts. We help our customers on the challenges that are posed by the exploding amounts of data in connectedvehiclesfor all sensor, video and 3D mapping data.
What we’re looking for
At Smallpdf you will be building a state of the art data pipeline on AWS that handles terabytes of data. Together with the data team you will lay the foundation for our data infrastructure and help our engineering teams to run experiments and create personalized Smallpdf experiences.
Your responsibilities:
Build a scalable and fast data pipeline that our engineers and pm’s can use in a self-service model to run experiments and make data-informed decisions.
An exciting task awaits you:
As a Data Engineer you will have the chance to become part of a fast-growing team in an early stage. You will improve and extend the current Data Platform in AWS that enables other teams to make data-based decisions based on that. You will also build Data Products in cross-functional teams together with Software Engineers and Data Scientists in order to automate operative processes backed up with intelligent algorithms which allow the company to grow in a scalable way.
Join our team
European XFEL is an international non-profit company located in the Hamburg area in Germany. It operates a 3.4 km long X-ray laser, which produces X-rays of unique quality for studies in physics, chemistry, the life sciences, materials research and other disciplines. The diverse scientific facilities at European XFEL enable scientists from across the globe to carry out a wide range of experimental techniques. Early user operation started in September 2017.
Als Cloud Berater*in mit dem Schwerpunkt Data arbeitest du mit uns zusammen und unterstützt unsere Kunden bei dem Weg in und durch die Cloud. Schwerpunkt ist das Erstellen von Data Lakes, ETL-Pipelines etc. Der Fokus liegt dabei auf Beratung, Coaching und Trainings. Werkverträge und Arbeit nach Pflichtenheft gibt es bei uns nicht.
BUZZWORDS:
Hier ist eine Liste von Dingen mit denen du bei uns in Kontakt kommen wirst. Lass dich nicht abschrecken! Am Ende wird ja doch nur mit Wasser gekocht.
Das sind Deine Aufgaben:
Du arbeitest massgeblich an der Neu- und Weiterentwicklung von Data Warehouse Lösungen für unsere Kunden im Gesundheitswesen mitDu entwirfst und implementierst ETL Prozesse, Datenaufbereitungen und Auswertungen für grosse DatenmengenDu beantwortest Fragestellungen in enger Zusammenarbeit mit dem Business durch spezifische DatenanalysenMit einer stabilen und performanten Datenaufbereitung sorgst Du dafür, dass die Daten rechtzeitig bereitstehenDas bringst Du mit:
Du verfügst über einen Abschluss in Richtung Informatik (FH, Uni, ETH) oder vergleichbare Berufserfahrung und hast mehr als vier Jahre Erfahrung als DatenbankentwicklerDu bist Data Engineer aus Leidenschaft, breite Kenntnisse und solides Engineering hoch-qualitativer Datenbanklösungen sind für dich selbstverständlichDir ist es wichtig, sich im Team gegenseitig weiterzubringen – ein einem interdisziplinären Umfeld fühlst Du Dich wohlDu hast eine schnelle Auffassungsgabe, gute analytische Fähigkeiten und arbeitest zielgerichtet und genauDu hast Erfahrung im Aufbau, Betrieb, Administration und Automatisierung von Data Warehouses auf Basis von MS SQL Server Technologien (SSIS, T-SQL).
Durstexpress is disrupting the traditional way of getting beverages to homes. Join our journey of transforming the business in a data driven way as we go nation-wide by building a top notch data platform. You will surely find a greenfield where your decisions are essential in deciding the best tools and technologies to use.
Your Future
As a Data Engineer will be responsible of developing, designing and maintaining batch and stream data pipelines and large-scale processing systems.
We are a Digital Health Startup in the heart of Munich. Our mission is to improve the quality of life of our users. With our mobile apps we accompany patients on their individual health path and help them to achieve the best possible therapy results.
WHAT YOU WILL BE DOING
Build and Deploy Data Pipelines on to enable AI & ML capabilitiesDrive the development of cloud-based and hybrid data storage & business intelligence platformsBuild Data Pipelines to ingest structured and unstructured DataGain hands-on experience with new data platforms and programming languagesWHAT YOU WILL BRING TO THE TABLE
Data is at the core of PriceHubble. We process a wide variety of data from multiple sources. As a data scientist, your mission will be to develop cutting edge valuation and forecasting systems for the real estate market. You will manipulate a wide range and variety of data, build new datasets, and identify patterns that eventually impact prices in the real estate market. You will then use specific machine learning approaches to design the best valuation and forecasting solutions.
Job description
As a part of Strategic Growth Businesses (SGB) unit of Amadeus, Travel Audience is the world’s leading data-driven travel advertising platform. The business unit harnesses the power of cutting edge machine learning practices to connect the leading performance-oriented advertisers with the biggest network of publishers, reaching millions of travellers. The strategy is to optimize advertising across the entire traveller journey, identify and create new audiences, and increase our partners reach, relevance and booking volumes.
WE OFFER
Stability: a permanent full-time contract
Flexibility: home office policy and flexible working hoursBalance: 28 days of vacation and a gym subscription to take care of yourselfChallenge: an international and fast-growing company that develops with youBelonging: scheduled breakfasts, shuffle lunch, team events. Team building is for us fundamental
YOUR TASKS
Maintain our ETL and streaming pipelines while extending them by implementing new featuresSetup monitoring and alarm systems to control the health of our pipelines and ensure stabilityMaintain and develop our data infrastructureDiscuss and advise on architectural and implementation decisions, as well as best practicesSupport the engineering team to integrate the products to the data services and databases
Wir finanzieren die Zukunft.
Wir sind mehr als nur ein Finanzdienstleister, denn wir verwirklichen, worauf es ankommt. Ganz gleich, ob es um erneuerbare Energien, die Digitalisierung in der industriellen Fertigung, intelligente Infrastrukturen, Mobilitätslösungen oder Gesundheitssysteme geht - Finanzierung ist wichtiger denn je. Durch die Kombination aus Finanzexpertise und fundiertem Branchen-Know-how gelingt es uns jeden Tag aufs Neue, innovative Finanzierungslösungen zu verwirklichen. Möchten auch Sie die Zukunft mit uns gestalten? Brennen Sie dafür, Bewährtes auf den Kopf zu stellen, um die Welt von morgen zu verändern?
Uns hättest du hier nicht erwartet, oder? Wenn man den Namen Breuninger hört, denkt man wahrscheinlich eher an ein 139 Jahre altes traditionelles Einzelhandelsgeschäft mit starren Prozessen, als an einen innovativen Arbeitgeber, der die E-Commerce Branche anführt. Tatsächlich haben wir es geschafft, beide Welten miteinander zu kombinieren. Die Data Driven Kultur ist bei uns fest verankert und zieht spannende Projekte in den Bereichen Web Analytics, Online Marketing, Data Science und CRM mit sich.
We are looking for a Data Integration Architect (f/m/d) to support our team in designing and maintaining an architecture for our data integration processes towards our scalable Smart Grid software Intelligent Grid Platform - helping to enable the energy transition.
Your tasks
Design the architecture of our software interfaces and data import routines for customer data to enhance stability, performance and data integrityCreation of concepts and implementation of functionalities working with various databases and data sourcesProvide documentation of the ETL/ELT-process and best practices for other team membersAdvancement of unit and integration tests, repository structure and coding guidelinesAgile teamwork in a highly motivated team together with Rapid Prototyping Developers and Project EngineersHelp to shape and further improve our agile development process Your profile
Our Vision
We want to establish pre-loved fashion as an integral part of everyday life and thus change nothing less than the world.
We’re looking for a senior data scientist to help us bring potential seller and buyer to Mädchenflohmarkt and connect them to actionable content that improves their experience. You’ll apply quantitative analysis, modeling and data mining to deeply understand user behavior and engagement patterns so we can build the most compelling and engaging product experiences for our customer.
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.
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.
Your tasks – this is what awaits you in detail
You have found your passion in Data Science and Machine learning, but get even more satisfaction having left hands-on work mostly behind to focus on helping your team do great work and improve their skill setYou develop and implement a Data Science vision for the department and contribute to our innovative product development ideas to solve customer problems using state of the art technologyYou guide and mentor a team of highly skilled Data Scientists, continuously work on the team members’ skills and careers and inspire them through purposeYou serve and enable your team members to utilize their full potential by fostering synergies, knowledge transfer and learning within your skill areaYou work closely with the leadership team and build cross-functional relationships with product managers, engineers and analysts to drive our products, ensuring high-quality communication across diverse audiences and turning research findings into productionYour profile – this is what we expect from you
Responsibilities
Development of state-of-the-art machine learning algorithms/workflows to support the analysis of digital pathology images Implement features in Definiens’ deep-learning ecosystemPlan and discuss architecture improvements with your Scrum TeamOptimize performance and quality of existing software componentsImplement automated tests to ensure high quality software applications (TDD principles)
Qualifications & Skills
Required:
Degree in Computer Science or related field3+ years of experience developing software with PythonExperience using Git in a professional environmentUsed to writing automated tests and configuring CI pipelinesSolving image and data analysis problems using machine learningExperience with machine learning (e.