15 Machine Learning jobs

Du beschäftigst dich als Data Engineer (d/m/w) mit dem Aufbau und der Entwicklung unserer Advanced-Analytics-Plattform. Du gestaltest so die datengetriebene Zukunft der TeamBank aktiv mit.

Der digitale KI-Assistent Neo unterstützt Mitarbeiter bei ihrer Arbeit mit komplexen B2B-Systemen, wie beispielsweise SAP, Oracle oder Salesforce. Quasi wie Alexa oder Siri, aber für Business. In puncto “Natural Language Understanding” (NLU) und Data Science haben wir hier natürlich etliche Baustellen – und genau da kommst du ins Spiel! Was verstehen wir unter Applied Machine Learning? Bei uns geht es immer um den anwendungsbezogenen und pragmatischen Einsatz von Methoden wie Machine Learning, die im weiteren Sinne zur künstlicher Intelligenz zählen: Unter Verwendung von bestehend Tools, Frameworks und Best-Practices bauen wir Lösungen zu konkreten Problemstellungen unserer Kunden bzw. unseres Produktes. Es geht weniger um Grundlagenforschung oder pure Data Science; vielmehr haben wir hier einen starken IT- und Softwareentwicklungsbezug. Was erwartet dich bei den Neohelden? In dieser Position kommt dir eine Schlüsselrolle in unserem Produkt zu: Gemeinsam mit unserem CTO Maik bist du im Epizentrum unseres Sprachverständnisses, der Datenanalyse, -Aufbereitung und -Verarbeitung! Gemeinsam mit uns und unseren Kunden entwickelst du innovative Anwendungsszenarie und wirst diese mithilfe von Machine-Learning Algorithmen und Modellen den Anwendern von Neo durch neue Dienste und Funktionen zugänglich machen. Ein motiviertes Team, das gemeinsam mit dir unseren digitalen Assistenten weiterentwickeln möchte. Eigene Projekte und Themen voranbringen: Du bestimmst maßgeblich, welchen Machine Learning Problemstellungen du dich widmen möchtest und wählst ein dafür geeignetes Toolset. Drücke Neo deinen eigenen Stempel auf und entwickle mit uns den digitalen Assistenten der Zukunft. Was bringst du mit? Dein Bildungsweg und Zertifikate interessieren uns weniger – viel wichtiger ist, dass du gerne mit anpackst, Themen voranbringst und im Idealfall sogar schon eigene Projekte entwickelt hast. Du möchtest künstliche Intelligenz sinnvoll nutzbar machen und kannst nutzenstiftende Use-Cases identifizieren. Du hast Erfahrungen in der Software-Entwicklung gesammelt und möchtest dich (oder hast dich bereits) auf Machine Learning fokussieren. Der Bereich des Natural Language Understanding fasziniert dich. Du liebst es, Zahlen und Daten zu jonglieren und zu analysieren, um dann Prognosen zu machen und Schlüsse daraus zu ziehen. Du arbeitest kreativ und zugleich pragmatisch. Du kannst deine Modelle und Algorithmen verständlich präsentieren und erklären. Was bieten wir dir? Kollegen, die sich jetzt schon auf dich freuen! Verantwortung vom ersten Tag an: Du kannst Projekte planen und durchführen. Zur persönlichen Weiterentwicklung steht dir ein Budget zur freien Verfügung. Du erlebst und bereicherst das Wachstum eines jungen Unternehmens. Arbeite Remote oder in unserem Office in der Karlsruher Oststadt. Eine wettbewerbsfähige Entlohnung. Sende uns deine Bewerbungsunterlagen (Lebenslauf genügt) mit ein paar Takten über dich und deinem frühesten Einstiegsdatum zu. Dabei wäre uns besonders wichtig, auch Code-Beispiele von dir zu sehen, sodass Angaben von Github Profilen oder Stack Overflow Beiträgen ein großer Pluspunkt sind. Wir freuen uns, dich kennenzulernen!

Als Teil unseres Teams unterstützt Du unsere Kunden bei der   erfolgreichen Entwicklung   und   Implementierung   komplexer Lösungen für   Datenanalyse-   und   Machine Learning- Anwendungen Mit Hilfe   leistungsfähiger Open-Source-   und   Cloud-Technologien   bietest Du unseren Kunden skalierbare, kosteneffiziente und flexible Lösungen Du bist für die   Implementierung, Verbesserung   und   Evaluierung   von ML-Anwendungen und deren Umsetzung verantwortlich Du   kommunizierst   regelmäßig auf eine effiziente und professionelle Art mit unseren   Kunden   und   Stakeholdern QUALIFIKATIONEN: Erfolgreich   abgeschlossenes Master-Studium   in Informatik oder ähnlichem Kenntnisse über   Distributed Systeme , verteilte Datenspeicherung und –verarbeitung, z.B. in Apache Spark und Apache Beam Praktische Erfahrungen mit   Datenanalyse-Technologien   wie AWS Sagemaker, Spark, Spark SQL, MLib oder Storm/Samza sind wünschenswert Tiefergehende Kenntnisse   in folgenden High Level Programmiersprachen:   Scala, Java, Python Erfahrung mit modernen   ML und DL Frameworks   wie TensorFlow, PyTorch, MxNet Caffe und Keras Hohe analytische und problemlösende Fertigkeiten Ausgezeichnete schriftliche und mündliche   Kommunikationsfähigkeiten   in   Deutsch   und   Englisch Zusätzlich zu einem attraktiven Gehalt fördern wir Deine berufliche Entwicklung durch regelmäßige und systematische Weiterbildungsmöglichkeiten. Als ein erfinderisches, vielfältiges und dynamisches internationales Team teilen wir unser Wissen und arbeiten zusammen. Das unterstützt Dich dabei, Dich zu entfalten, neue Kenntnisse und Fähigkeiten aufzubauen und zu zeigen, was in Dir steckt. Wenn auch Du unsere Leidenschaft für Perfektion teilst und eine spannende berufliche Herausforderung suchst, dann werde Teil von Reply! Über Data Reply: Wir helfen Unternehmen bei der Entwicklung und Umsetzung einer Big Data Strategie im Umgang mit großen und komplexen Datenmengen und gehört zum europäischen Reply Netzwerk. Reply ist auf die Entwicklung und Einführung von Lösungen auf Basis neuer Kommunikationskanäle und digitaler Medien spezialisiert. Mit seinem Netzwerk aus hochspezialisierten Unternehmen unterstützt Reply die europäischen Branchenführer effektiv bei Geschäftsmodellen, die auf den neuen Paradigmen wie Big Data, Cloud-Computing, Digitalen Medien und dem Internet der Dinge basieren.

Geschäftsbereich Smart Home Ihre Aufgabe Konzeption, Entwicklung und Evaluation intelligenter daten-getriebener Prototypen, Services oder Produkte auf Basis modernster Verfahren der Künstlichen Intelligenz mit Fokus auf Maschinellem Lernen Konzeption und Implementierung von ML-Pipelines und -Lifecylces unter Verwendung von Tools (z. B. mlflow, dvc) und Cloud Services (z. B. MS Azure Machine Learning Services) Design, Implementierung und Rollout von ML Modellen (Model Production / Model Deployment) und Applikationen Entwicklungsdokumentation, als auch kontinuierliche Überwachung der entwickelten Modelle (z. B. Temporal drift, Context Loss, …) Mitarbeit in interdisziplinären Projektteams um innovative Prototypen, Services und Produkte im IoT-Umfeld zu konzipieren, umzusetzen als auch zu evaluieren Ihr Profil Ein erfolgreich abgeschlossenes Studium der Informatik, Mathematik, Statistik, Ingenieurswissenschaften oder vergleichbare Industrieerfahrung sowie Berufserfahrung in der Auswahl und Anwendung von Data Science Frameworks/Toolkits (z. B. Tensorflow, PyTorch, scikit-learn, pandas, …) und relevanter Programmiersprachen (z. B. Python, R) Mehrjährige Erfahrung im Praxiseinsatz von Methoden der Künstlichen Intelligenz, mit Fokus auf Maschinellem Lernen (supervised, unsupervised, RL) Erfahrung im Einsatz von kognitiven Machine Learning Services (z. B. AWS Services, IBM Watson, MS Azure) sowie im Einsatz agiler Arbeitsmethoden (z. B. Scrum); hilfreich sind Erfahrungen in den Bereichen Machine Vision oder Natural Language Processing Bereitschaft in interdisziplinären Teams innovative Lösungen in kurzen Zyklen zu erarbeiten und iterativ weiterzuentwickeln Analytische Fähigkeiten und gutes technisches Verständnis gepaart mit sehr guten Deutsch- und Englischkenntnissen in Wort und Schrift Arbeitsort:   Gütersloh   Befristung:   unbefristet   Beschäftigungsart:   Vollzeit   Beginn:   ab sofort Wir freuen uns auf Ihre Onlinebewerbung. Für Rückfragen stehen wir Ihnen zur Verfügung: Herr Daniel LePersonal Technik und ProduktionTel +49 5241 892356

Oberkochen or Jena Thrive on innovation at a global technology leader.   Develop exciting solutions in a diverse, stable work environment that's focused on the future.   Join us in a modern work environment with an open and inspiring culture and colleagues! You want to pioneer? In current machine learning applications the physical basis of optical imaging is hardly taken into account and one is often limited by the amount of available training data.   In current optical development processes machine learning based methods play only a minor role.   Your role is to change that.   Integrated in a team you will advance ideas from academic stages to industrial product development.   This comprises conceptional work and taking the initiative as well as implementing virtual prototypes and evaluating their performance.   During your work you will build an excellent network with us in both academia and industry that will help us to leverage the latest technology advancements in order to address tomorrow's challenges. You have a strong theoretical background with a PhD in Mathematics, Physics, Computer Science or similar a deep understanding of physical optics and machine learning as well as the ability to quickly grasp and discuss ideas in these areas practical state-of-the-art knowledge on neural networks, synthetic data generation, and machine learning based simulation techniques excellent programming skills in Python, Matlab, or C ++ and you are familiar with toolkits such as OpenGL and Tensorflow preferably parallelization skills (CUDA, OpenCL, OpenMP) an innovative and decidedly hands-on mindset: you love to work on hard problems At ZEISS we encourage creative thinking and innovation.   We work in dynamic and interdisciplinary teams and offer individual development perspectives as well as flexibility in organizing your work.   We care about our employees and take particular responsibility for improving society and preserving our environment.   These core values ​​have shaped our corporate culture at ZEISS for over 170 years. Join us and shape the future! The application process takes less than 10 minutes, we look forward to receiving your application

Jena, Oberkochen, Munich Thrive on innovation at a global technology leader.   Develop exciting solutions in a diverse, stable work environment that's focused on the future.   Join us in a modern work environment with an open and inspiring culture and colleagues! Want to drive the next generation of intelligent products? We are seeking passionate and talented scientists who want to drive the development of next generation products and cutting-edge machine learning algorithms at ZEISS.   Integrated in a fast growing team of scientists and research engineers, you will develop core algorithms that extract information from the diverse data sources present across our complete product portfolio and take project ideas from academic and idea stages to prototypes.   We have just started to scrape the surface of what can be done with the data our products deliver.   You will contribute to realizing the prospects of machine learning, modern computer vision and scene understanding technologies for our customers.   You also want support technology adoption and integration into our flagship products.   This comprises conceptualizing, initiating,   prototyping as well as scaling and instrumenting methods and evaluating their performance.   During your work you build an excellent network with us in both academia and industry that will help us to leverage the latest technology advancements to address tomorrow's challenges. You have an excellent PhD in domains like multi-modal deep learning, autoML, or reinforcement learning, and ideally several years of experience in industry a publication record at machine learning venues, such as NIPS, ICML, ICLR, CVPR, etc. a deep understanding of machine learning and statistics as well as best practices in model validation a strong programming background in Python or C ++ and are familiar with toolkits such as TensorFlow or pytorch the vision and hands-on mindset to make your ideas come to life in ZEISS products as well as strong communication skills At ZEISS we encourage creative thinking and innovation.   We work in dynamic and interdisciplinary teams and offer individual development perspectives as well as flexibility in organizing your work.   We care about our employees and take particular responsibility for improving society and preserving our environment.   These core values ​​have shaped our corporate culture at ZEISS for over 170 years. Join us and shape the future! The application process takes less than 10 minutes, we look forward to receiving your application.

For our client, one of Europe's leading Technology & Innovation Consulting groups, we are looking for an experienced Business Development Manager Digital & IT with a focus on the Aeronautics industry. Your profile: • Business and/or Engineering University degree  • At least 3 years of relevant business development / sales experience in a technology and/or consulting context, with a focus on the Aeronautics industry • Project management experience • Excellent communication and networking skills • Passion for emerging technologies such as Big Data, IoT and Advanced Manufacturing • Leadership experience is a big plus • Business proficiency in both, German and English Please send us your application to receive further details.

EXXETA is an independent and medium-sized technology and consulting company with a focus on the automotive, energy and financial services sectors.   We offer our customers a unique combination of business and IT.   We deliver holistic, innovative solutions, from specialist and IT consulting to self-developed software products to the conception and implementation of future-oriented strategies and new business models. As a Data Science and Machine Learning intern (m / f / d), we offer you the opportunity to actively participate in our current Data Science and Machine Learning projects.   As part of a distributed and interdisciplinary team, you work in an innovative, industry and application-oriented manner on the great challenges of the economy in a pleasant, technically demanding work environment.   The activity gives you insights into methods and tools in the field of data science and machine learning and combines them with practical tasks in projects.   The duration of the internship should be at least 3 months. What awaits you Interesting, changing problems, which offer you insights into different applications and industries Design, analyze and optimize algorithms using statistical methods Take on implementation tasks as a member of a machine learning team and support us in the design of creative solutions Model data and train machine learning models to solve specific problems Customer-oriented work on interdisciplinary topics What do we expect from you Studied computer science, mathematics, physics or another mathematical and scientific subject Strong analytical skills Good programming skills (e.g. Python, R, MATLAB) Pronounced interest in data science and machine learning topics and ideally first knowledge in this area Very good spoken and written German or English skills Conscientious, responsible and team-oriented way of working Creativity and fun solving difficult problems Why EXXETA Exciting and current topics with a direct connection to practice Benefit from our start-up atmosphere: a relaxed, friendly and open work environment in which you can make a difference Use the flexible working hours for your study-life balance Set the course for your start in professional life Note: Your application and your certificates are sufficient for an application;   we do not need a cover letter.   If your documents are of interest to us, we invite you to a data science challenge in a first step.

Insiders Technologies is one of the most successful IT companies in Germany.   With innovative software solutions based on artificial intelligence, we support companies worldwide in their digital transformation.   We create innovations in our team - we rely on modern methods and a creative work environment.   Become part of our dynamic growth! Your tasks Applying and testing the latest scientific findings in artificial intelligence (AI) Develop, test and implement highly innovative products in an agile Scrum team Identification of measures to improve existing products Assess the technical feasibility and the economic viability of new and further developed products your profile Completed degree in computer science with a focus on AI or comparable qualification Ideally, professional experience in the research and development environment Experience in the application of artificial intelligence and its sub-areas such as neural networks, machine / deep learning etc. Sound knowledge of at least one higher programming language Teamwork, proactivity and innovative strength Very good knowledge of German and English

Vertical Scale is a Berlin-based business and technology consulting company.   With our international team of developers, scientists and entrepreneurs, we support them to apply latest technology like Artificial Intelligence or Blockchain to their operating business model.   Our cooperation partners include SMEs, corporates, universities and investors among others. Thesis wants to be your tasks You want to work with the Data Science team to develop software based on the results of their processes You want to communicate with the domain experts within Vertical Scale and Beyond Domain Knowledge in your Analysis Assist in building a cloud software product You want to enable ideas by experimenting with many techniques to evaluate the most suitable one;   if a solution exists and if the business case is validated, it wants to be further developed into a product Train, deploy and serve machine learning models in production You're offering these qualifications University degree with a focus on technology, computer science, mathematics, engineering, business administration, economics Proficient knowledge in machine learning, especially supervised methods Experience in deploying and serving machine learning models in production Experience with Tensor Flow Serving and Cloud Platforms would be useful Nice, but not a must have: experience in classical / inductive statistics, artificial intelligence Analytical and innovative way of thinking, eagerness to experiment as well as the ability to multi-task Good English and / or German skills We are offering these benefits You enjoy flexible working hours from the beginning including the possibility of home office You work directly with the management team on upcoming challenges and projects You get the opportunity to implement your own ideas and develop your potential You want to be part of an international, young, open-minded and dynamic team Since we are a relatively young company (established in 2017), we have a startup-like working atmosphere.   For that, we offer various opportunities for you to grow with us, fitting your career goals.   We are looking forward to getting to know you!

In deiner Position als Data Scientist (d/m/w) erweckst du datengetriebene Anwendungen zum Leben und gestaltest dadurch die Zukunft der TeamBank aktiv mit.

Who we are: At Cobrainer, we are developing a revolutionary, fast and intuitive way to connect people with the relevant expertise needed to drive their ideas and projects. To make this reality, our Machine learning team is developing large public and private data sets in order to extract, clean and accurate expertise information.   To this end, the team brings together methods and concepts such as data mining, machine learning, natural language processing, distributed computing, API design, and user interface design. As a Lead Software Engineer in the Machine learning team, you are responsible for translating into a scalable and maintainable product that can be deployed and used on new customers' datasets within minutes.   The Cobrainer Expertise Management Software. Training models and improving the underlying analytics architecture based on customer interactions and customer feedback in rapid two-week release sprints. This vacancy is intended to be completed at the earliest possible date. In your role: Responsible for data-processing modules of the Cobrainer software developed in close collaboration with the application and UI teams Design and implement software features that require applications of Deep Learning, Machine Learning, Data Mining, Search and Recommendation techniques. Assessing incoming requirements, design and software features, and coordinate implementation with Developers in the team Define feature specifications and approval criteria, coordinate tests, software documentation and releases Undertake validation, rectification of reported issues, optimizing software for data quality and system performance Mentor and guide junior team members, participate in hiring efforts if necessary What we value: Minimum 3 years' practical experience in designing and implementing enterprise-grade software systems MS or PhD Degree in Computer Science or related fields is a plus in Deep Learning, Machine Learning, Natural Language Processing, Information Retrieval and Data Mining. Proven experience in conceptualizing, developing and testing software for scalability and high performance Extraordinary programming skills, motivation to build and build robust software Proficient knowledge of Java, Python, Bash-Scripting, DBMS, and NoSQL technologies Effective written and oral communication skills in English;   proficiency in German language is a plus What Cobrainer offers you: We're driven by expertise and we invest in yours! Responsibility, ownership, and time to drive your own ideas A happy, challenging and inspiring place to work Great colleagues and a top notch working environment Excellent salary package, employee stock options and 30 days holidays Trainings, conferences and peer-to-peer learning Weekly get-togethers, quarterly team retreats and other fun activities Spacious office in central Munich and free barista quality coffee

Aaron.ai   is an artificial intelligence, which employees and can use to control business processes by voice - in web, app, voice assistant and phone. As   Aaron.ai   is gaining more and more customers, we are looking for an Internal Machine Learning / Python (m / f / x) that supports our Machine Learning / Python team in software design & development as well as machine learning testing and training , Your tasks at Aaron.ai You are going to support our amazing Machine Learning / Python team designing and developing software You want to test our software and assure that our data is always maintenanced As we want to gain as much knowledge as possible, you want to do research and documentation as well What you want to bring along You are studying Computer Science or a related field in your Masters or Bachelors You already got some experience with machine learning (a course, a project or something like that, just let us know) You are a proficient user of Python It would be great if you know how to use Node You must have a good command of English, German is a plus Our offer Motivating start-up perks: an international team of tech and business experts, flexible working hours, no strong hierachies, a nice office in the middle of Berlin, team events, fruits & coffee We support you in growing professional You are ready to be creative, as we are always open to new ideas and love to try them We are looking forward to meeting you. Additional services: Flexible working hours Home Office Type of job: full time, internship