Ability to manipulate and analyze large scale, high-dimensionality data from varying sources
• Experience in semantic consistency checking
• Ability and experience in data integration
• Experience in manipulating unstructured, semi-structured and fully structured datasets
• Capability to understand and model a domain in interactions with the partners
• Autonomous and responsible; organized and structured in initiatives and work
• Detail-oriented and able to keep a global vision of the issues and their solutions
• AI, Machine Learning & Deep learning
• Experience in semantic web related specifications and tools
• Knowledge of knowledge graph consistency and coherency checking
• RDF, RDFS (preferably also OWL)
• skills on Python, PyTorch, TensorFlow, C++
• Experience on Cloud (Azure)
• Experience with ETL processes and tools (cleaning, conversion, …)
• Understanding of inference in RDF, RDFS and OWL (including profiles)
• Knowledge of property graph formalism (e.g. Neo4j, Gremlin, Tinkerpop, …)
• Experience in semantic consistency checking
• Ability and experience in data integration
• Experience in manipulating unstructured, semi-structured and fully structured datasets
• Capability to understand and model a domain in interactions with the partners
• Autonomous and responsible; organized and structured in initiatives and work
• Detail-oriented and able to keep a global vision of the issues and their solutions
• AI, Machine Learning & Deep learning
• Experience in semantic web related specifications and tools
• Knowledge of knowledge graph consistency and coherency checking
• RDF, RDFS (preferably also OWL)
• skills on Python, PyTorch, TensorFlow, C++
• Experience on Cloud (Azure)
• Experience with ETL processes and tools (cleaning, conversion, …)
• Understanding of inference in RDF, RDFS and OWL (including profiles)
• Knowledge of property graph formalism (e.g. Neo4j, Gremlin, Tinkerpop, …)
Organization: Siemens Healthineers
Company: Siemens Healthcare Private Limited
Experience Level: Experienced Professional
Full / Part time: Full-time