Artificial Intelligence Engineer

2 days ago

Jamnagar, Gujarat, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a highly skilled and motivated professional 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.

  • The successful candidate will design, develop, and deploy AI/ML models to detect anomalies, predict incidents, and automate root cause analysis in IT systems.
  • This role involves integrating AIOps solutions with monitoring tools such as Splunk, Datadog, Prometheus, and AppDynamics.
  • Collaboration with SREs, DevOps, and IT teams is crucial to understand operational pain points and identify automation opportunities.

Key Responsibilities:

  1. Develop and implement data pipelines to collect and process logs, metrics, and events from various sources.
  2. Implement NLP techniques for log analysis and intelligent alert correlation.
  3. Evaluate model performance and retrain models as needed.
  4. Contribute to the development of dashboards and visualizations for operational insights.
Required Skills and Qualifications

To be successful in this role, you will need:

  • A bachelor's or master's degree in computer science, data science, or a related field.
  • At least 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.
  • Knowledge of time-series analysis, anomaly detection, and predictive modeling.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
Benefits

This role offers:

  • Opportunities for career growth and professional development.
  • A dynamic and collaborative work environment.
  • The chance to work on cutting-edge projects and technologies.

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