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Showing 9 jobs
Skills:
Machine Learning, Natural Language Processing, Generative AI, Agentic AI, Intelligent Automation, AI solution architecture, Retrieval Augmented Generation, Large Language Models
Skills:
Java, C, Hadoop, Kafka, Microservices, Sql, Git, Hive, Javascript, Python, data pipelines, Ai, cloud expertise
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, rapid iteration and safe deployment, evaluation and quality assurance infrastructure, large-scale AI platform engineering, intelligent query classification
Skills:
Cloud Infrastructure, ML integration, real-time data processing, high-throughput APIs, large-scale distributed systems, architectural strategy, distributed databases
Skills:
Golang, Kvm, C, Cassandra, Prometheus, Grafana, Datadog, Microservices, Docker, Vxlan, Python, Java, Openstack, BGP, Rabbitmq, VMWare, Elastic Search, Distributed Systems, Kubernetes, EVPN, TCP IP networking stack, Signoz, Open telemetry, Datacenter Networking Protocols, Cloud Native software development
Skills:
PostgreSQL, Microservices, FastAPI, Asynchronous programming, Python, LangChain, model observability solutions, high-performance API design, scalable data platforms, multi-agent architectures, workflow orchestration, event-driven systems, artificial intelligence concepts, LangGraph, prompt optimization pipelines, state management solutions, AI-driven decisioning systems, context-engineering frameworks, production deployment of LLM-powered applications, secure multi-tenant architectures
Skills:
Java, Apis, Scala, Schema Design, Kotlin, Data Architecture, AI tools, Distributed event-driven architectures
Skills:
Distributed Systems, System Design, Networking, AWS, AI tools, Security, cloud-native architecture, enterprise deployment patterns
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, AI capability routing and orchestration, model serving infrastructure, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, evaluation and quality assurance infrastructure, observability tooling, large-scale AI platform engineering, intelligent query classification
