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Tier-1 brand and Bangalore location increase applicant density, but niche networking+AI specialization reduces competition.
Requires deep networking product support experience plus ML expertise, limiting cross-industry transferability.
Explicit 7–10 years, required Juniper/Aruba certifications and ML expertise make shortlisting highly strict.
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Develop and apply AI, machine learning, and statistical models to network performance and support operational data to improve support efficiency and customer outcomes.
Own the creation of predictive and prescriptive analytics solutions and automated workflows for HPE Networking products including Aruba and Juniper technologies.
Leverage AI and automation to optimize support processes such as issue diagnosis, case prioritization, SLA compliance, and escalation management.
Bachelor's or master's degree in computer science, engineering, IT, networking, or closely related field.
7-10 years of experience in network engineering, support operations, AI, machine learning, or related technical domain.
Certifications in Aruba and/or Juniper networking products, with deep expertise in routing, switching, security, wireless, and SD-WAN solutions (e.g., Juniper MX, PTX, QFX, ACX; Aruba ClearPass, Aruba Central, Silver Peak).
Mandatory onsite work location at an HPE office.
Experienced individual contributor with strong subject matter expertise in HPE Networking and AI-driven support operations who can work independently with minimal supervision.
Technical operator skilled at translating business and operational needs into scalable AI and automation solutions for network support.
Proficient in support process tools like Salesforce and analytics/visualization platforms such as Power BI and Tableau to communicate actionable insights to stakeholders.