Senior Artificial Intelligence Engineer

2 weeks ago

Guntur, Andhra Pradesh, India beBeeAio Full time ₹ 25,00,000 - ₹ 40,00,000

As a skilled AI/ML Engineer, you will play a key role in driving proactive operations and reducing Mean Time To Resolve (MTTR) issues.

Key Responsibilities:
  • Develop and Deploy AI/ML Models: Design, develop, and deploy artificial intelligence and machine learning models to detect anomalies, predict incidents, and automate root cause analysis in IT systems.
  • Integrate AIOps Solutions: Integrate AIOps solutions with monitoring tools (e.g., Splunk, Datadog, Prometheus, AppDynamics).
  • Collaborate with Cross-Functional Teams: Collaborate with Site Reliability Engineers (SREs), DevOps, and IT teams to understand operational pain points and identify automation opportunities.
  • Data Pipelines and NLP: Build and maintain data pipelines to collect and process logs, metrics, and events from various sources. Implement natural language processing techniques for log analysis and intelligent alert correlation.
  • Evaluate Model Performance: Continuously evaluate model performance and retrain models as needed.
  • Operational Insights: Contribute to the development of dashboards and visualizations for operational insights.
Requirements:
  • 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.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
  • Knowledge of IT Service Management (ITSM) and ITIL processes is a plus.

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