Sr. Software Engineer - AI/ML

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This inte [... source excerpt omitted ...] olutions that drive business transformation and technological advancement. The ideal candidate will combine strong technical skills with business intelligence to translate complex requirements into practical, scalable applications that deliver measurable impact. Key Responsibilities: AI/ML Solution Development: Design, develop, and implement machine learning models and AI algorithms to address business challenges. This includes data preprocessing, model training, validation, and deployment. Scalable Architecture Design: Architect and design scalable systems that can handle large volumes of data and complex AI/ML workloads, ensuring high performance and reliability Production-Read [... source excerpt omitted ...] ring innovative approaches to data analysis, model architecture, system integration, and business strategy. Deployment and Monitoring: Oversee the deployment of AI/ML models into production environments, ensuring scalability, performance, and reliability. Monitor model performance post-deployment and iterate as necessary. Documentation and Knowledge Sharing: Document processes, methodologies, and findings. Share knowledge through internal presentations, workshops, or by contributing to our knowledge base. Minimum Qualifications Bachelor's degree in Computer Science, Data Science, AI, or a related field. Master's and/or PhD preferred Minimum of 3-5 years of experience in AI/ML,