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Position: 6G AI/ML Research Specialist
Institution: Nokia
Location: India
Duties: Shape the future of wireless connectivity by creating world-class AI/ML solutions in 6G radio and system; Learn from the best in the industry about cutting-edge wireless and mobile network technologies; Apply and expand your knowledge by identifying and developing new approaches and solutions for AI/ML in radio and 6G system; Create highly capable ML solutions by utilizing advanced Machine Learning and GenAI infrastructure & platforms with state-of-the-art compute hardware; Create high-value innovations and inventions in a dynamic industry and ensure the competitiveness of future radio
Requirements: Typically requires min 5-8 years extensive relevant experience and/or a graduate/postgraduate equivalent degree; A background with a PhD or master’s degree in computer science, AI, Telecommunications, or a related field; Deep knowledge of the fundamentals of artificial intelligence and machine learning; Very good understanding and hands-on experience with the latest Machine Learning techniques and architectures
   
Text: 6G AI/ML Research Specialist Shape the future of wireless connectivity by creating world-class AI/ML solutions in 6G radio and system; Learn from the best in the industry about cutting-edge wireless and mobile network technologies; Apply and expand your knowledge by identifying and developing new approaches and solutions for AI/ML in radio and 6G system; Create highly capable ML solutions by utilizing advanced Machine Learning and GenAI infrastructure & platforms with state-of-the-art compute hardware; Create high-value innovations and inventions in a dynamic industry and ensure the competitiveness of future radio Typically requires min 5-8 years extensive relevant experience and/or a graduate/postgraduate equivalent degree; A background with a PhD or master’s degree in computer science, AI, Telecommunications, or a related field; Deep knowledge of the fundamentals of artificial intelligence and machine learning; Very good understanding and hands-on experience with the latest Machine Learning techniques and architectures
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