Job Summary
Job Description:-
• Develop anomaly detection models for infrastructure health metrics and alert correlation
• Design embedding strategies for runbook content and operational knowledge bases
• Build statistical baselines for the weather map, targeting 40% reduction in unexplained alerts
• Analyze pre/post-change health check data to train AI reasoning models
• Create data-driven insights for the green/red observability dashboard
• Collaborate with the AI/ML Lead on model selection, feature engineering, and evaluation
Key Responsibilities
Skills Required:-
• Python (advanced), R, SQL for data analysis
• ML frameworks: scikit-learn, TensorFlow, PyTorch
• Anomaly detection and time-series analysis
• NLP and text analytics for log/alert parsing
• Statistical modeling and hypothesis testing
• Data visualization: Plotly, Dash, Streamlit
• Vector embeddings and similarity search
Skill Requirements
Skills Required:-
• Python (advanced), R, SQL for data analysis
• ML frameworks: scikit-learn, TensorFlow, PyTorch
• Anomaly detection and time-series analysis
• NLP and text analytics for log/alert parsing
• Statistical modeling and hypothesis testing
• Data visualization: Plotly, Dash, Streamlit
• Vector embeddings and similarity search
Other Requirements
NA