Beschreibung
Our customer´s Metadata team is responsible for creating a central knowledge graph for all their content. As a media company they are dealing with various content types like movies, series, podcasts and more, this task involves a diverse set of data sources with varying semantics. they apply machine learning and other techniques to better understand the semantics of their content and to derive useful new information for the knowledge graph. your work enables other teams like recommendation and search to improve their products and to provide the best experience for the customers.Work closely with data scientists, infrastructure engineers, product owners and other stakeholders to deliver the central knowledge graph
Implement data pipelines for stream and batch processing that feed our knowledge graph and build our machine learning models
Increase the coverage of our knowledge graph by integrating new internal and external data sources
Design and implement algorithms to derive new information and infer new connections
Implement measures to improve reliability and performance of the knowledge graph infrastructure
Participate in various meetings by sharing your expert knowledge regarding knowledge graphs, architecture, and ML Ops
Working in an agile, international environment
Degree in computer science or a related field
3+ years of experience working as a Data Engineer
Solid skills in programming with Python and knowledge of software engineering principles
Experience developing scalable data pipelines with Spark, Beam or related technologies
Experience with knowledge representation, query languages (RDF, SPARQL) and graph databases
Experience with at least one cloud, GCP is a plus
experience in Deep Learning machine learning and Natural Language processing techniques
experience in Infrastructure-as-Code and Kubernetes
You enjoy working in an agile team, like to get involved, think "out of the box" and are keen to tackle new topics
Good English skills complete your profile
Technology Stack: Google Cloud Platform, Graph Databases, Python
If you are interested in this project, feel free to hand in your cv via , if you have any questions you can call me :
Reference :J
Duration :12 weeks
Location : remote
Languages : english
emagine GmbH
Haverkamp, Michel
T :