Deep Learning Engineer (m/f/*)

80331 München - Altstadt, 80331 München - Lehel, 80331 München - Isarvorstadt, 80331 München
01.02.2019

Daten dieser Anzeige

Job-ID: 009554902
Deep Learning Engineer (m/f/*)

Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München

Germany

https://munichre.recruitmentplatform.com/Apply/AAACGAAA-018a4336-5f2b-4ce2-9208-2466c289fe71/apply.html?jobId=P93FK026203F3VBQB79V7LO0S-83923&langCode=en_GB

Implement microservice based scalable and modular architecture for Munich Re's data intelligence services. Understand business requirements and develop go-to-market strategies from technical standpoint. Implement optimized reusable algorithms that are highly performant on big data environments. Implement and deploy Natural Language Processing, Computer Vision and other Deep Learning models for customers. Design, build and innovate existing service offerings on the data lake. Work together with data scientists, customers and external partners on innovation projects defining new digital service offerings

Deep Learning Engineer (M/F)* for the Reinsurance Development Central Division Reinsurance Development (RID) is a central division of Munich Re that combines all functions of strategy development and implementation, organizational design, corporate client management, data analytics, innovation management and new client services, like IoT and Risk Management. As deep learning engineer you work closely with data scientists and implement production grade deep learning models that empower digital services on a data lake.   Your Job: Implement microservice based scalable and modular architecture for Munich Re's data intelligence services. Understand business requirements and develop go-to-market strategies from technical standpoint. Implement optimized reusable algorithms that are highly performant on big data environments. Implement and deploy Natural Language Processing, Computer Vision and other Deep Learning models for customers. Design, build and innovate existing service offerings on the data lake. Work together with data scientists, customers and external partners on innovation projects defining new digital service offerings Your Profile: University degree in computer science, engineering or an equivalent qualification Minimum 3 years of experience in a project with hands on Machine Learning experience. Practical experience and comprehensive know-how in designing and implementing cloud architectures based on micro-services. Knowledge of docker & Kubernetes is a plus. Proven experience in software development projects with Python and Java (Spring framework) ideally in a SCRUM or KANBAN setting. Knowledge of Golang is a plus. Outstanding knowledge of SQL, NoSQL and Graph databases. Proven experience in implementing and deploying customer facing deep learning models Ability to develop a holistic approach and to abstract reasoning, as well as the ability to communicate complex issues to internal and external non-professionals in an easily understandable way Strong service orientation, target driven, high degree of intercultural competence, team player with highest commitment Fluent business English is mandatory, German is an advantage; willingness to travel   Munich Re is one of the world's leading reinsurance companies with more than 11,000 employees at over 50 locations around the globe. We are working on topics today that will concern the whole of society tomorrow, whether that be climate change, major construction projects, gene technology or space travel. We find solutions to these challenges through a network of highly qualified professionals who anticipate risks, work on tailor-made solutions and expertly advise our clients. If you want to help shape the future as part of one of our teams, we look forward to hearing from you. Please click on the link to apply online.   Apply Münchener Rückversicherungs-Gesellschaft Veronika Buchhierl HR Consultant Königinstraße 107 80802 München GERMANY     * Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunity employer. Severely disabled candidates will also be prioritized, if equally qualified.  

Finanzdienstleistung/ Versicherung

IT/ Softwareentwicklung

Banken/ Finanzdienstleistungen

Angestellter/ Fachkraft

Vollzeit

80331 München - Altstadt

80331 München - Lehel

80331 München - Isarvorstadt

80331 München