Software Engineer III, Applied AI/ML, Google Cloud

Role Overview: As a software engineer at Google, you will be part of a team developing cutting-edge technologies that impact billions of users worldwide. Your role will involve working on projects crucial to Google's operations, with the flexibility to switch between teams and projects as the business evolves. You will be expected to demonstrate versatility, leadership qualities, and a passion for tackling new challenges across various technology domains. Key Responsibilities: - Drive initiatives to improve Generative AI (GenAI) accuracy and security, such as Prompt Engineering, Intent Classification, Fine-tuning, and RAG. - Participate in on-call responsibilities to ensure existing production systems meet Service Level Objectives (SLOs). - Ensure that the infrastructure complies with Google's principles regarding security, performance, reliability, and fault-tolerance. - Implement new changes in adherence to the latest Google principles for the roll-out process. - Collaborate with other service teams within Google Customer Solutions (GCS) to solve problems and execute cross-functional initiatives. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 2 years of experience in software development using one or more programming languages or 1 year of experience with an advanced degree. - 2 years of experience with data structures or algorithms. - 1 year of experience with core GenAI concepts, including Large Language Model (LLM), Multi-Modal, and Large Vision Models for text, image, video, or audio generation. - 1 year of experience with Machine Learning (ML) infrastructure, such as model deployment, evaluation, optimization, data processing, and debugging. - Preferred qualifications include experience with Artificial Intelligence/Machine Learning (AI/ML) systems in a customer-facing production environment, multi-region cloud-based storage systems, developing data pipelines, distributed storage infrastructure systems, testing frameworks for storage infrastructure systems, and Service-Oriented Architecture (SOA) or Microservices-based architecture. (Note: The additional details about the company were not explicitly mentioned in the provided job description.),