Beschreibung
Wir sind aktuell auf der Suche nach Unterstützung für unseren Endkunden.Start: 01. August 2018
Ende: 31. Dezember 2018
Ort: München
Onsite: 640 Stunden
Offsite: 160 Stunden
Sprachanforderung: Englisch, fliessend, Deutsch wünschenswert
Aufgabe:
Develop machine learning models in TensorFlow Lite and deploy on Android Things edge device
Develop real-time analysis of data streams from IoT devices
Support the development of an realtime IoT rule engine
Develop a data model for IoT nodes, streams, events and rules
Develop the deployment pipeline for machine learning models to the edge device
Soft-Skills:
take over responsibility
analytical thinking
enjoying collaborating internationally and across cultural borders, willing to undertake international business travel
Fluent in English, German is a plus.
Fach-Skills:
Ph.D. or master degree in Computer Science, Mathematics, or related technical discipline.
Minimum 2 years working experience with TensorFlow Lite and Android Things.
Experience in data stream- and event processing
Experience in modeling data on RDBMS and noSQL
Experience working with docker and GitLab CI/CD pipelines
Experience in time series analysis, data mining, machine learning and statistics