Lead a team to build capacity intelligence and fleet observability tools for Microsoft AI.
Responsibilities
Build a team that delivers innovative products in a fast-paced environment
Lead a key role in shaping architectural decisions, mentor engineers, drive execution and turn complex, high-scale, and high-volume data into intuitive visual experiences
Lead the design and development of features to provide visibility into model performance and quality across our fleet
Integrate with backend APIs from schedulers, training frameworks, and production inference systems to build visibility across the model life cycle
Explore, develop, and adapt new innovations to the software development process
Requirements
Bachelor’s or Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
Help define, build, launch and land the world's best GPU infrastructure for training and serving AI/ML, driving business growth for Google Cloud Platform (GCP).
Understand the customer journey and their workflows for our target AI/ML workloads. Understand their pain points and how AI/ML infra can address their constraints, know how to shape our product roadmap by building new offerings to drive growth to GCP.
Understand technical challenges and dependencies, working with executives across Google to ensure product launches and deliver an excellent product experience. Partner with ecosystems we work with (machine learning frameworks, orchestration engineers (K8s, Batch, etc.) to create multiple paths to market our portfolio of products.
Drive product strategy and set product priorities, teaming with engineering and cross-functional teams to define and deliver on the next generation of cloud services.
MTS-Lead-Full stack Efficiency and ObservabilityMicrosoft AI · Bengaluru, India
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