
Data Driven Machine Learning Professional
2 weeks ago
We are seeking a highly skilled and motivated individual to join our team in an AIOps role. The ideal candidate will 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 and 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 evaluating model performance and retraining models as needed.
Required Skills and Qualifications:
- 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.
Preferred Qualifications:
- 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.
- Familiarity with popular JavaScript UI frameworks.
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