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AIOps Kubernetes Trainer

Exclusive opportunity

Onsite

AIOps Kubernetes Trainer

QCS Dc Labs

AIOps Kubernetes Trainer

Skills

Neo4jGrafanaMachine LearningAIPrometheusKubernetes

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 August 2026

What they need


  • 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

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