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Showing 7 jobs
Skills:
Pytorch, Python, Rust, C++, concurrency, Linux, Kubernetes, Go, Ray, deployment systems, SGLang, persistent data, Kubernetes controllers, developer productivity tools, debugging complex failures, observability, TensorRT-LLM, agentic AI tools, AI inference infrastructure, distributed tracing, Dynamo, vLLM, build and test infrastructure, Diagnostics, model serving, data processing systems
Skills:
model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, live traffic sampling, real-time performance monitoring, caching strategies, model serving infrastructure, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, evaluation and quality assurance infrastructure, observability tooling, rapid iteration and safe deployment, large-scale AI platform engineering, intelligent query classification
Skills:
model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, live traffic sampling, real-time performance monitoring, offline test sets, caching strategies, model serving infrastructure, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, observability tooling, evaluation and quality assurance infrastructure, large-scale AI platform engineering, intelligent query classification
Skills:
containerization , Kafka, API design, metrics, Data Protection, Python, Logging, Java, Hadoop, Scala, Hive, MLops, Incident Response, Authentication, Spark, Kubernetes, GenAI, LLM tooling, Distributed tracing, Go, Security, Authorization, Observability, Ai, HDFS
Skills:
.NET, operational readiness , Java, C#, Containers, Automation, Microservices, Distributed Systems, Azure, Python, Kubernetes, Site Reliability Engineering, Go, Data center networking, AI-assisted development practices, CI/CD, Cloud-native technologies, Networking fundamentals, Observability
Skills:
Dlp, cloud-native distributed systems, CASB, malware protection, SaaS security, AI-assisted intelligence, AI or machine-learning capabilities, traffic-classification, application-discovery, application-intelligence
Skills:
Cloud Infrastructure, ML integration, real-time data processing, high-throughput APIs, large-scale distributed systems, architectural strategy, distributed databases
