0.0 - 3.0 years

2 - 5 Lacs

Bengaluru

Work from Office

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs. Provide post-training support and mentorship when necessary. Observability & Monitoring: Prometheus, Grafana, OpenTelemetry, ELK Stack, FluentBit AI/ML: Python, scikit-learn, Prophet, LangChain, Ollama (LLMs) Security Tools: Falco, KubeArmor, Sysdig Secure Dev Tools: Docker, VSCode, Jupyter Notebooks LLMs & Automation: LangChain, Neo4j, GPT-based explanation tools, Slack Webhooks.

Posted 18 hours ago

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