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VICE PRESIDENT/VP | DIRECTOR | PRINCIPAL RESEARCHER | TECHNICAL LEADAreas of expertise: AI, ML, Team Building, Leadership, Systems Engineering, Architecture, Data ScienceHire and manage teams of scientists and engineers. Architect and develop data, machine learning and AI platforms and services. Create and execute compelling vision and strategy for data science and engineering initiatives. Work with cross-functional remote teams and with customers. Use large data sets and cutting-edge technologies and processes. Establish and run tech and science partnerships with external organizations. Ensure wide coverage of modern data, ML and AI approaches in a range of industries and applications. Strive for consistency and depth. CORE COMPETENCIESLeadership, Management, Team Development, Agile SDLC, Technology Strategy, Applied Machine Learning, Natural Language Processing, Applied Artificial Intelligence, Systems Architecture, Systems Engineering, Complex System OptimizationDistributed SystemsQuantum Computing, Hybrid Quantum-Classical SystemsInnovation, Applied Research, Strategic Planning, Organizational Leadership, Process Improvement, Business Process, IT Strategy, Cost Control, Project Management and Planning, Budget Management, Global ProjectsTECHNICAL SKILLSJava ◈ C++ ◈ Erlang ◈ Prolog ◈ Mathematica ◈ Statistica ◈ MySQL ◈ R ◈ Python ◈ TensorFlow ◈ Deep Learning ◈ Machine Learning ◈ Applied Mathematics ◈ Visualization ◈ Reinforcement Learning ◈ IntelliJ ◈ PyCharm ◈ Linux ◈ CLion ◈ Sphinx ◈ Search Engines ◈ AWS ◈ GCP ◈ NoSQL ◈ Caching ◈ Agile ◈ Scrum ◈ Kanban

Listed skills include Cloud Computing, Big Data, Machine Learning, Information Retrieval, and 38 others.