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Showing 9 jobs
Skills:
MLops, Docker, Distributed Systems, Kubernetes, data engineering and processing for AI ML applications, deep learning frameworks, DevSecOps practices, modern software engineering practices, large language models, scalable architectures, automated testing frameworks, cloud-native architectures, AI ML technologies, CI CD implementation
Skills:
Jenkins, Devops, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools
Skills:
Ruby On Rails, Elasticsearch, Data Architecture, AWS cloud architecture and services, LLM frameworks or modern AI tooling, frontend and backend system design
Skills:
.NET, Machine Learning, Performance Tuning, Spring Boot, API design, Cursor, Microservices, Tensorflow, Nosql, React, Typescript, Pytorch, Postgres, AWS, Java, Kotlin, Sql, REST, Gcp, ASP.NET, MongoDB, Azure, Claude, GRPC, Cloud ML frameworks, Azure Cognitive Services, Generative AI, Ai
Skills:
.NET, API design, Distributed Systems, Data Privacy, Logging, DevSecOps, Microservices, AI ML, Solution architecture, AWS, Python, Javascript Frameworks, Apis, Secure compliant architectures, Monitoring, Data AI GenAI, Cloud Platforms, Risk controls, Architectural patterns for RAG agentic AI systems, Automated testing strategies, Alerting patterns, Data flows, Responsible AI, AI service orchestration, Architecture Design, Observability, Platform engineering concepts, Integration patterns
Skills:
Rtp, Microservices, Kafka, Asterisk, Node.js, Kubernetes, Python, Docker, vector DBs, LLMs, Redis Streams, message brokers, Go, ASR, CI CD, SIP, CPaaS, TTS, freeswitch, WebSockets
Skills:
Jenkins, Devops, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools
Skills:
Java, Python, Windows, Rxjava, Linux, AI technologies, LLMs, AI tools, agentic AI frameworks
Skills:
Security Testing, Api Testing, Microsoft Azure, prompt engineering, EU AI Act, AI safety, containerized test environments, output scoring and validation frameworks, bias detection, cloud-native services, RAG model orchestration, NIST AI RMF, LLM evaluation techniques, explainability techniques, hallucination detection, automated testing frameworks, performance profiling
