Cortical.io is a young entrepreneurial company focusing on natural language understanding (NLU). We use our patented technology in combination with sophisticated AI approaches to address problems others have failed to solve. Over the last couple of years, we have built an impressive client portfolio of global Fortune 100 companies. At this point, we are looking to expand our team at our headquarters in Vienna. The ideal candidates for this position have some experience in Java product development, machine learning, and/or natural language processing (NLP).
Join our Identity team and help improve trivago user’s experience through ensuring coverage, quality and accuracy of accommodation content & advertiser matching. We are looking for someone who is interested in leveraging machine learning techniques to help ensure continual improvements in our complex matching process. In addition, you will drive the definition of consolidation algorithms amalgamating and ranking data from multiple big-data sources. You will work in a cross-functional team to create and optimize a matching and content consolidation service.
Arbeiten Sie mit an einer Zukunft, die bewegt. Für unsere Division Currency Management Solutions suchen wir Sie als Big Data Engineer (m/w/d) Ihre Aufgaben:Sie sind verantwortlich für Design, Implementierung und Betrieb von effektiven Data Processing Architekturen innerhalb unserer innovativen Microservices- und Cloud-basierten Data Analytics, IIoT und DigitallösungenIngestion, Integration, Organization, Batch und Stream Processing, Lifecycle Management der DatenSichern der Qualität, Integrität und Privacy der DatenSetup, Monitoring und Tuning der Hadoop Cluster und Datenbanken, you build it you run itEnge Zusammenarbeit in agilen Teams mit Data Scientists, Entwicklungsteams und Product Ownern in der Datenmodellierung, Datenanalyse und TechnologieberatungIhr Profil:
SENIOR DATA SCIENTIST – MACHINE LEARNING EXPERT Start: As soon as possible Location: Zürich, 100% THE FELFEL TECHNOLOGY TEAM & YOUR IMPACT FELFEL is a Start-up based in Zürich, Switzerland. The company has revolutionized how people eat at work with its intelligent technology or ‘the FELFEL fridge’. The company is among the fastest growing start-ups in Switzerland with over 60 employees. FELFEL’s technology team, of 7 engineers, has built the heart of FELFEL’s product and is responsible for the company’s success as a leading European foodtech company.
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.
Du hörst nie auf, neugierig zu sein, und willst jeden Tag dazulernen. Und das am liebsten von den Besten und mit den besten Aussichten. Du suchst die Herausforderung und möchtest endlich die Theorie Deines Studiums in die Praxis umsetzen. Beste Voraussetzungen, um als Praktikantin oder Praktikant bei uns richtig durchzustarten. Jump on. Deine Aufgaben: Damit wir unsere Services künftig noch individueller gestalten können, dreht sich im Tribe „Customer Interaction“ alles darum, die Wünsche & Vorstellungen unserer Kunden zu antizipieren.
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.
What you will do and learn Work alongside our CTO and take responsibility for the company and your own learning journeyManage own projects from writing high-quality code to documentation and testingCI, deployment and integration of additional AWS services into our infrastructure to further utilize analytical and optimization potential What you will do, will be heavily dependent on both your skills, experience, and personal development goals. What you should bring to the table Most of all, curiosity and personal fit with current team Experience in the AWS ecosystem (EB, EC2, Lambda, Infrastructure, Data pipelines)Experience in Ruby on Rails and React (comparable languages do qualify)Ideally, experience with machine learning, python, sagemakerWe believe in talent and curiosity.
Market research is the original data driven business. Incubated and spun-off from a university, we have earned the trust of the world´s biggest companies and leading brands - for more than 80 years. Today, everything at GfK starts and ends with Data and Science We are proud of our heritage – and our future: Currently we’re on a transformational journey from a traditional market research company to a trusted provider of prescriptive data analytics powered by cutting edge technology.
We are looking for a Knowledge Engineer (f/m) who has experience with NLP and Machine Learning and wants to join our Semantic team in Frankfurt, Germany. Beyond the required skills and abilities, we are looking for a highly passionate, optimistic, and confident individual who can work with equal dedication for projects that come along. What you’ll be doing Apply Machine Learning and NLP techniques to develop high-end software solutions for the world’s leading real estate companiesDevelop knowledge representations and vertical ontologiesCreate and maintain linguistic resources (text corpora, dictionaries, rules, etc.
About the role Create and deploy production-ready machine learning models, life-cycle managementEvaluate and assess model quality through metrics and experimentsEnd-to-end responsibility for socio-demographic predictions, audience expansions and interest inferenceWriting production code with Spark and Scala and creating advanced pipelines with LuigiWorking with git on github, various services on AWS, Jira and Confluence with an agile software development cultureAbout you Deep knowledge in Scala, Java or C++ and strong skills in either Python or BashExpertise in using Spark, Hadoop, etc.
You and Your Role We’re looking for a generally nice and smart person to join our development and research team in Berlin. You have an academic background in machine learning and at least 3 years of hands-on industry experience.You consider yourself a Data Scientist beyond just using BI tools.You can verify your findings with sound & solid statistics.You’ve implemented different ML algorithms yourself and know which toolboxes offer well written variants of them.
Viastore entwickelt und verkauft Intralogistiklösungen in Form von Hardware und einer Warehouse Management Software-Lösung. In unseren Intralogistikanlagen bei den Kunden vor Ort werden jeden Tag enorme Datenmengen produziert. Diese möchten wir nutzen, damit unsere Kunden ihre Anlagen besser verstehen und wir bereits reagieren können, bevor technische Probleme entstehen. Sie haben spontan viele Ideen, wofür wir die Daten noch nutzen könnten? Als „Macher“ sind Sie bei uns genau richtig: Für unseren neu gegründeten Bereich „Business Intelligence“ sind wir auf der Suche nach einem Data Scientist, der Lust darauf hat in einem kleinen Team die Data-Science-Landkarte mitzugestalten!
ABOUT THE TEAM Department: Zalon Data Reports to: Product Owner Zalon Data Team Size: >10 Recruiter Name, E-mail: Taryn Bonugli Are you looking for an opportunity to build a cutting-edge data products? We are ramping up our data team to support and scale Zalon’s machine learning, analytics and business needs. To do so we are looking for an analytical problem solver that likes to work in an agile and cross-functional team with the challenge to shape, build and refine the future of the company’s data quality for our services together with the integration of machine learning algorithms.
We’re looking for a motivated and driven Data Scientist (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 analyse our data and prototype systems and algorithms for customer relationship management and customer behaviour modellingYou use statistical models to answer real-life questions such as“Is departure time more important than trip duration?
DU HAST EIN GESPÜR FÜR DIE NEUESTEN TRENDS UND SETZT BEIM PROGRAMMIEREN AUF DIE NEUESTEN TECHNOLOGIEN? DICH BEGEISTERT DIE INNOVATIONSKRAFT VON GOOGLE UND MÖCHTEST DAMIT DEN ERFOLG UNSERER KUNDEN ENTWICKELN? Ebenso wie wir setzt Du neben den neuesten Technologien auf exzellente Qualität und weißt daher um die Vorteile des Einsatzes der Atlassian-Produktpalette zur Sicherung hochwertigen Codes? Möchtest Du die Chance nutzen, mit uns anspruchsvolle Software zum Leben zu erwecken? Als Software Engineer Java & Machine Learning (m/w/d) an einem unserer Standorte in Düsseldorf oder Berlin arbeitest Du mit über 380 anderen Digital-Spezialisten daran, innovative Applikationen für unsere Kunden zu realisieren.
Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere
Your tasks - Paint the world green You are our truffle hunter, who quickly finds a way through complex datasets and recognizes opportunities to grow and to optimizeYou filter growth relevant information from our BI/tracking systems and convert complexity into simplicityYou analyze our data systems and algorithms for customer relationship management and customer behavior modeling; you solve our complex business challenges with creative insightsYou use statistical models to answer real-life questions like; “What are the effects of price changes and how to adjust marketing spend (e.
To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/d) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou 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 influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board
Develop Revolutionary Machine Learning Applications with us! We are a team of highly motivated software architects and mathematicians with diverse backgrounds – from machine learning, routing algorithms, and signal processing to compiler technology and mathematics. We combine our knowledge to advance CeleraOne’s machine learning models and applications every day. Job Description - Modelling industrial processes using advanced machine learning methods - Utilizing modern machine learning frameworks: Google TensorFlow, scikit-learn, pandas, and more