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AI/ML Ops Engineer
AI/ML Ops EngineerReqpedia • haryana, India
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AI / ML Ops Engineer

AI / ML Ops Engineer

Reqpedia • haryana, India
12 days ago
Job description

Job Title : AI / ML Ops Engineer

Location : PAN India

Experience : 3+ years

Employment Type : Full-time

Work Mode : Hybrid

About the Role

We are seeking a highly skilled AI / ML Ops Engineer with a strong foundation in AI / ML engineering and DevOps practices. The ideal candidate will have hands-on experience with AIOps platforms, cloud-native technologies, and advanced analytics to drive intelligent automation and operational efficiency across IT systems.

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.
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