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Tier-1 brand and metro location increase competition, but senior specialized AI platform reduces candidate density.
High because role demands specialized ML infrastructure, distributed systems, and model deployment expertise.
High due to PhD/MS preference, explicit 8+ years, and numerous mandatory AI platform technologies.
Lead design and development of a scalable, secure AI platform supporting all AI application stages: data prep, training, serving, experimentation, and monitoring.
Drive adoption of best practices for platform reliability, cost-efficiency, and performance optimization, including modernizing technology stacks when beneficial.
Mentor engineers and collaborate with cross-domain technical leaders to align architecture, ensure high availability, and foster engineering excellence.
PhD or MS in Computer Science, Electrical Engineering, or related field.
8+ years experience in software engineering specializing in large-scale, high-performance distributed systems.
Proficiency in Python, Java, or Go; experience with AI frameworks like TensorFlow or PyTorch.
Experience leading multi-functional projects and providing strategic technical leadership.
Experienced in architecting and optimizing distributed, microservices, and event-driven AI systems at scale.
Skilled in integrating emerging technologies (e.g., Kubernetes, Docker, MLflow, Kubeflow, Kafka) for AI platform enhancements.
Demonstrated ability to accelerate software delivery using autonomous AI coding agents with human-in-the-loop review.