Polytential is looking for an AI Architect to join the team. Together with the team you will be responsible for the development of self/semi-supervised algorithms as well as setting up the necessary software infrastructure.
Design, develop, validate and test different approaches to self-supervised learning using data from hyperspectral cameras and RGB cameras;
Help develop infrastructure needed to support the feedback loops for self-supervised learning;
Liaison with the mechanical and software departments to reach consensus on direction.
Qualifications & Experience
PhD in Artificial Intelligence, Data Science, Applied Mathematics or similar;
Good knowledge of mathematical descriptions of AI algorithms;
Strong background in statistics and probability;
Experience in algorithm design and implementation;
Skilled in AI/CV frameworks/libraries (TensorFlow, OpenCV or similar);
Skilled in programming (Python, R or similar);
Excellent command in English.
Nice to have:
Knowledge of stream processing and distributive computing;
Knowledge of database management (NO-SQL and SQL);
Experience in writing high performance algorithms;