Description:
Project Description Develop machine learning and deep learning solutions for observability data to enhance IT operations. Implement time series forecasting, anomaly detection, and event correlation models. Integrate LLMs using prompt engineering, fine-tuning, and RAG for incident summarization. Build MCP client-server architecture for seamless integration with the Grafana ecosystem. The project also focuses on predicting emissions using ML models and enhancing observability through dynamic dash
Nov 10, 2025;
from:
dice.com