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17 hours ago
We are currently seeking a highly skilled and experienced AI/ML Engineer to drive proactive operations and reduce mean time to resolution (MTTR) through intelligent automation. This role involves leveraging artificial intelligence and machine learning to enhance observability, automate incident detection and resolution, and optimize IT operations.
Key Responsibilities:- Design, develop, and deploy AI/ML models to detect anomalies, predict incidents, and automate root cause analysis in IT systems.
- Integrate AIOps solutions with monitoring tools such as Splunk, Datadog, Prometheus, and AppDynamics.
- Collaborate with SREs, DevOps, and IT teams to understand operational pain points and identify automation opportunities.
- Build and maintain data pipelines to collect and 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 needed.
- Contribute to the development of dashboards and visualizations for operational insights.
- Bachelor's or Master's degree in computer science, Data Science, or a related field.
- 3+ years of experience in AI/ML engineering, preferably in IT operations or DevOps environments.
- Strong programming skills in Python.
- Experience with implementing GenAi and AI Python SDKs.
- Experience with time-series analysis, anomaly detection, and predictive modeling.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
- Knowledge of ITSM and ITIL processes is a plus.
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