Overview

Keysightis on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreabout what we do. Our powerful,award-winningculture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.Diversity, equity & inclusionare integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About the team: Join Keysight's central AI team, a hub of innovation where top-tier researchers and engineers collaborate to create cutting-edge ML technologies that power our world-class products and services. Our team is at the forefront of AI research, driving advancements in supervised and unsupervised learning, generative models, temporal learning, multimodal input streams, deep reinforcement learning, inverse reinforcement learning, and large language models. At Keysight, we are passionate about pushing the boundaries of what is possible. Our mission is to develop transformative ML solutions that address real-world, large-scale problems, ensuring our products lead the industry in performance and reliability. As a member of our team, you will have the opportunity to work on pioneering projects, develop state-of-the-art algorithms, and contribute to the evolution of technologies that enable the next generation of design and test products, including those for the 6G era. We foster a dynamic and collaborative environment where innovation thrives, and every team member's contribution is valued. Our cross-functional teams work closely to integrate AI/ML solutions seamlessly into our products, ensuring that we meet and exceed the needs of our customers. If you are driven by curiosity, inspired by challenges, and ready to make a significant impact, Keysight's central AI team is the place for you. Responsibilities

About the Role: We are looking for a highly skilled AI/ML data Architect to join our dynamic team. The mission of this role is to provide architecture guidance and technical leadership to several teams working on a wide array of data management, analytics, and artificial intelligence (AI) solutions to support multiple Keysight worldwide business lines and departments. Our solutions and use cases span multiple enabling technologies (on-premise, cloud, edge) as well as highly heterogenous data assets (structured, unstructured, real-time, local, installed base, etc.) and analytics and AI need We seek a self-motivated individual with strong programming skills, hands-on experience with TensorFlow or PyTorch and python coding, and a passion for developing intuitive, well-architected, and maintainable software tools. As a leader, you will foster collaboration across cross-functional teams, champion creative problem-solving, and push the boundaries of what's possible. If you thrive in a fast-paced environment and are eager to lead and innovate, we want you on our team. Responsibilities Lead the AI data strategy and technical engagement on new opportunities to solve highly complex business challenges and drive analytics and AI innovation by framing architecture boundaries for solution direction, including innovation step-ups, resulting in robust solutions. Proactively identify data management and analytics capabilities needed to support current and future business needs. Providing architecture guidelines, roadmaps, and critical technical guidance for solution enablement, team skills and capabilities, and business innovation Consult and support Central AI and busin ss teams to ensure alignment with intended solution path and architecture guidelines as well as incorporating relevant non-functional requirements Be a technical thought leader and build trust with key technical decision makers and influencers across customers and partners Provide clarity on enterprise wide AI/ML data estate migration, modernization, transformation with respect to AI/ML data architecture Be comfortable addressing topics like information security, data governance, and compliance Be effective at partnering with all required stakeholders to drive effective cross-team collaboration Qualifications

Qualifications Master's degree in Computer Science, Information Technology, Engineering or related field with a minimum of 5 years of experience. Demonstrated technical leadership in architecting data strategy for AI/ML workloads. Profound expertise in Data science, data engineering, statistics and machine learning technologies. Thorough understanding of predictive modeling and various machine learning algorithms for supervised and unsupervised learning. Strong programming skills, including proficiency in Python and C++. Hands-on experience with TensorFlow or PyTorch. Extensive experience with the MLOps workflow, encompassing data platform, training infrastructure, and edge deployment infrastructure along with DevOps technologies for contain-er based software solution Proven experience with fundamental solution design principles and data integration patterns for enterprise-grade and enterprise-scope solutions. Proven experience with cloud and containerized application design principles including SOA, microservices, APIs, contracts, etc. Proven experience integrating security principles and implementation for container-based solutions. Proven experience with database principles, data warehousing (virtual or physical), data modeling, and data governance concepts. Proven experience with data visualization tools and capabilities such as