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2 weeks ago
We're seeking a skilled professional to leverage 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 (e.g., Splunk, Datadog, Prometheus, 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.
- Experience with AIOps platforms Dynatrace
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Agentic AI project planning and implementation
- Manipulating text embeddings for enhanced language processing
- Familiarity with popular JavaScript UI frameworks (React, Angular)
- Demonstrable knowledge of debugging code
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