Description

You will design, develop, and deploy AI/ML models to detect anomalies, predict incidents, and automate root cause analysis in IT systems.

Responsibilities

• Integrate AIOps solutions with monitoring tools like Splunk, Datadog, Prometheus, and AppDynamics.
• Collaborate with SREs, DevOps, and IT teams to identify operational pain points and automation opportunities.
• Build and maintain data pipelines to process logs, metrics, and events from various sources.
• Implement NLP techniques for log analysis and intelligent alert correlation.
• Continuously evaluate model performance and retrain models as necessary.

Required Skills

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 3+ years of experience in AI/ML engineering, preferably in IT operations or DevOps.
• Strong programming skills in Python.
• Experience with time-series analysis, anomaly detection, and predictive modeling.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
• Experience with Machine Learning and Data Science practices.
• Knowledge of ITSM and ITIL processes.

Preferred Skills

• Experience with AIOps platforms like Dynatrace.
• Familiarity with Reactjs.

Key Skills

Education

Bachelor's or Master's degrees