Expert-level understanding of Artificial Intelligence technologies including some or all: knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, unsupervised machine learning, and/or reinforcement learning
Solid knowledge in deep learning algorithms and AI system design and architecture
Excellent understanding of complex system architecture, components and requirements
Innovation minded, highly capable to think systematically, capable to redefine the solutions to overcome the competitors and solving problems
Self-driven, energetic, creative, with ability to work in international teams
Curious and willing to challenge existing solutions with innovative technology concepts.
Advanced level proficiency in Python programming especially in conceptual understanding of relational databases and hands-on comfort working within a Linux computing environment, and use of numerical/analytical computing using Numpy, Scipy, and Pandas.
Relevant experience for the area of Knowledge Representation and Reasoning (KRR) and related information integration; propositional logic, first-order logic, and constraint satisfaction methods; methods for uncertainty in combination with logical methods (e.g., Bayesian, probabilistic soft logic); combination of the foregoing with natural language and combination of the foregoing with machine learning
