Cognitive SON Architect

Role Overview: As a Cognitive SON Architect at GlobalLogic, your main responsibility will be to design, develop, and implement AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. You will collaborate closely with cross-functional teams to build and deploy intelligent network automation tools utilizing machine learning, artificial intelligence, and advanced analytics. The ultimate goal is to deliver innovative solutions that optimize the operation and evolution of modern mobile networks, with a particular focus on 5G and beyond. Key Responsibilities: - Design & Architecture: Define the architecture for Cognitive SON solutions, incorporating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. - Technology Development: Develop innovative algorithms, models, and tools to improve the cognitive capabilities of SON systems, using AI/ML techniques to address complex network optimization challenges. - Network Optimization: Optimize radio access networks (RAN) by creating solutions that adapt in real-time to network conditions and demands, including interference management, load balancing, and energy efficiency. - AI/ML Integration: Collaborate with data scientists to apply machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making within the SON context. - End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. - Collaboration: Work closely with product managers, engineers, and stakeholders to ensure successful delivery of Cognitive SON features and alignment of solution development with business goals. - Research and Innovation: Stay updated with the latest trends in AI/ML, network automation, and self-organizing networks, contributing to continuous innovation in solutions. - Customer Interaction: Engage with customers to understand their network challenges and provide solutions leveraging Cognitive SON technology to address their needs and pain points. Qualifications Required: - Education: A bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. - Experience: Proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. - Technical Expertise: Strong programming skills in languages like Python, Java, and Microservices. Proficiency in AI/ML algorithms, data modeling, statistical methods, and knowledge of RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is advantageous. - Desirable Skills: Familiarity with network orchestration and management tools, experience with programming languages for AI/ML solutions, hands-on experience with machine learning frameworks, and knowledge of 5G and future mobile network standards. (Note: The additional details of the company mentioned in the job description have been omitted for brevity.) Role Overview: As a Cognitive SON Architect at GlobalLogic, your main responsibility will be to design, develop, and implement AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. You will collaborate closely with cross-functional teams to build and deploy intelligent network automation tools utilizing machine learning, artificial intelligence, and advanced analytics. The ultimate goal is to deliver innovative solutions that optimize the operation and evolution of modern mobile networks, with a particular focus on 5G and beyond. Key Responsibilities: - Design & Architecture: Define the architecture for Cognitive SON solutions, incorporating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. - Technology Development: Develop innovative algorithms, models, and tools to improve the cognitive capabilities of SON systems, using AI/ML techniques to address complex network optimization challenges. - Network Optimization: Optimize radio access networks (RAN) by creating solutions that adapt in real-time to network conditions and demands, including interference management, load balancing, and energy efficiency. - AI/ML Integration: Collaborate with data scientists to apply machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making within the SON context. - End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. - Collaboration: Work closely with product managers, engineers, and stakeholders to ensure successful delivery of Cognitive SON features and alignment of solution dev