AI/ML Ops Engineer

Job Title: AI/ML Ops Engineer

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About the Role

AI/ML Ops Engineer

Key Responsibilities

• Design, develop, and deploy AI/ML models for anomaly detection, incident prediction, and root cause analysis.
• Integrate AIOps solutions with monitoring tools such as

  Splunk, Datadog, Prometheus, and AppDynamics

  .
• Collaborate with SREs, DevOps, and IT teams to identify automation opportunities and operational pain points.
• Build and maintain scalable data pipelines to process logs, metrics, and events from diverse sources.
• Implement NLP techniques for log analysis and intelligent alert correlation.
• Apply time-series analysis, anomaly detection, and predictive modeling techniques.
• Continuously evaluate and retrain models to ensure optimal performance.
• Contribute to the development of dashboards and visualizations for actionable operational insights.

Required Skills & Experience

• 3+ years of experience in AI/ML engineering, preferably in IT operations or DevOps environments.
• Strong programming skills in

  Python

  ; experience with

  AI Python SDKs

  and

  GenAI

  implementations.
• Proficiency with

  cloud platforms

  : AWS, Azure, or GCP.
• Hands-on experience with

  containerization and orchestration

  : Docker, Kubernetes.
• Familiarity with

  AIOps platforms

  such as

  Dynatrace

  .
• Experience with

  Agentic AI project planning

  and

  text embedding manipulation

  .
• Solid understanding of

  JavaScript UI frameworks

  : React, Angular.
• Demonstrable knowledge of

  debugging

  ,

  problem-solving

  , and working in fast-paced, collaborative environments.
• Knowledge of

  ITSM/ITIL

  processes is a plus.