
Senior AI/ML Engineer Position Available
5 days ago
We are seeking an experienced AI/ML engineer to join our IT Operations 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.
This role is critical in driving proactive operations and reducing mean time to resolution (MTTR) through intelligent automation. We require a candidate with 5+ years of experience in AI/ML engineering, preferably in IT operations or DevOps environments.
The successful candidate will design, develop, and deploy AI/ML models to detect anomalies, predict incidents, and automate root cause analysis in IT systems. They will integrate AIOps solutions with monitoring tools such as Splunk, Datadog, Prometheus, and AppDynamics.
Key Responsibilities include building and maintaining data pipelines to collect and process logs, metrics, and events from various sources. Implementing NLP techniques for log analysis and intelligent alert correlation is also essential.
Continuously evaluating model performance and retraining models as needed is crucial to the success of this role. The candidate will contribute to the development of dashboards and visualizations for operational insights.
Technical Requirements:
- A strong background in AI/ML engineering with 5+ years of experience.
- Proficiency in programming languages such as Python, Java, or C++.
- Familiarity with data pipeline tools such as Apache Kafka, Apache Beam, or AWS Kinesis.
- Experience with AIOps solutions and integration with monitoring tools.
- Strong understanding of NLP techniques and their application in log analysis.
- Ability to work collaboratively in a team environment.
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