Principal Machine Learning Engineer

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Description

Требования: To be successful in this role, you have: 15+ years of experience building large-scale distributed systems, cloud platforms, infrastructure services, or enterprise SaaS products. Deep expertise in Java, Go, Python, or similar systems programming languages. Proven experience designing, building, and operating highly scalable cloud-native architectures. Expert knowledge of Kubernetes, containers, orchestration platforms, and modern cloud infrastructure. Experience building platform services used across multiple engineering teams and products. Strong understanding of distributed systems principles, including resiliency, fault tolerance, scalability, performance optimization, and observability. Experience with AWS, Azure, or Google Cloud at large scale. Expertise in CI/CD, infrastructure automation, GitOps, Terraform, Helm, ArgoCD, or comparable technologies. Strong software engineering fundamentals including object-oriented design, system design, architecture patterns, and performance optimization. Experience leading technical strategy and influencing architecture across multiple organizations without direct authority. Demonstrated track record building new platform capabilities from concept through large-scale production adoption. Strong communication skills with the ability to explain technical tradeoffs to engineering and executive leadership. Preferred Qualifications Experience building infrastructure for AI/ML, generative AI, agentic systems, or conversational pl

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