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AI Summary
Develop and implement Generative AI solutions using LLMs and prompt engineering. Manage end-to-end observability, AIOps, and cloud infrastructure to ensure system reliability and performance.
This is a remote position.
Python programming, Generative AI basics (LLMs), Prompt engineering, API integration (OpenAI/Azure OpenAI), Data preprocessing & text handling, Basic NLP concepts, Git & version control, Model testing & evaluation, Cloud basics (AWS/Azure)Monitoring tools (Datadog/Grafana/Splunk), Event correlation basics, Cloud infrastructure basics, Containerization (Docker, Kubernetes basics), Runbook automation (basic), Log analysis & troubleshooting, DevOps basics (Git/Jenkins), ITSM tools (ServiceNow basics)End-to-end observability (logs, metrics, traces), AIOps & anomaly detection, Cloud platforms (AWS/Azure/GCP), Kubernetes & container orchestration, Automation & scripting (Python/Bash), Incident management & SRE practices, CI/CD & DevOps integration, OpenTelemetry instrumentation
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