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Hewlett Packard EnterprisePosted 3 weeks ago
EXPIRED

Networking AI Engineer

On-siteBengaluru, Karnataka, India

Full TimeEnterprise

Job Summary

Apply machine learning, AI, and statistical modeling to network performance data and support case trends across HPE Networking solutions, including Juniper and Aruba technologies. Predict issues, detect anomalies, and generate actionable insights to improve support efficiency and operational effectiveness. Develop descriptive, diagnostic, and predictive analytics solutions that translate technical requirements into automated workflows. Leverage Salesforce, Power BI, and Tableau to visualize metrics and communicate findings to engineering teams and leadership. Work hands-on with HPE products to streamline support workflows, accelerate issue diagnosis, and reduce manual effort in incident management and case lifecycle handling.

Required Qualifications

  • Bachelor's or master's degree in computer science, engineering, information technology, networking, or a closely related discipline
  • Typically 7–10 years of experience in network engineering, support operations, AI and machine learning, or a related technical field
  • Possesses one or more Aruba and/or Juniper certifications
  • deep expertise in routing, switching, security, wireless, and SD-WAN solutions
  • expertise in Juniper MX, PTX, QFX, and ACX platforms
  • expertise in Aruba ClearPass, Aruba Central, Silver Peak, and other HPE Networking products
  • Artificial Intelligence Technologies
  • Machine Learning
  • Deep Learning
  • Statistical Modeling
  • Machine Learning Operations
  • Data Engineering
  • Data Science
  • Design Thinking
  • Development Fundamentals
  • AI Tools
  • HPE Networking
  • Wired and Wireless Networking
  • Network Support Operations
  • Cross Domain Knowledge
  • Incident Management
  • Case Lifecycle Management
  • SLA Management
  • Customer Escalation Handling
  • Root Cause Analysis
  • KPI Management
  • Process Improvement
  • Power Automate
  • Power BI
  • Tableau
  • Salesforce
  • IT Performance
  • Scalability Testing
  • Security-First Mindset
  • Full Stack Development
  • Onsite work at an HPE office

Desired Qualifications

  • English major preferred

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