Description:
6- 8 years Design and develop ML algorithms and DL applications for observability data (AIOps) Hands-on experience in time series forecasting, anomaly detection, and event classification Experience integrating LLMs with prompt engineering, fine-tuning, and RAG Working knowledge of MCP client and server development for Grafana or similar Programming: Python, R ML Frameworks: TensorFlow or PyTorch, scikit-learn Cloud Platforms: Google Cloud and/or Azure Front-End: React or Angular or Vue.js, or jQ
Nov 17, 2025;
from:
dice.com