
Application Support Engineer/AI ML
1 week ago
Skills Set :
Primary
• Enterprise application support management
• Monitoring and observability tools: PagerDuty, Datadog, Prometheus, Splunk
• Incident management platforms: ServiceNow, Jira Service Management
• Expertise in leveraging Automation & AI Tools to drive efficiency in technical
support
•
Secondary
• AI/ML Integration in Support Experience building smart support tools like
chatbots, summarizers, and LLM-based agents
• Experience with cloud platforms: AWS, GCP, Azure
Detailed JD
Location: Hyderabad
No of open positions: 1
Skills : Tech support + AI/ML
Job_req (Generated by AI):
- Technical Expertise: 8-12 years of experience in Enterprise Application
Support Management, with proficiency in automation, observability, and
shift-left processes.
- Communication and Problem-Solving: Excellent verbal and written
communication skills, attention to detail, and the ability to communicate
effectively with stakeholders at all levels.
- Preferred Experience: Familiarity with Supply Chain domain, Service
Now for Incident Management, and observability/monitoring tools like
PagerDuty, Data-dog, Prometheus, and Splunk.
- Technical Leadership: Lead innovation in support with cutting-edge AI
and LLM-powered tools, and act as technical lead during critical
incidents.
- Support Process Improvement: Develop automation for auto-triage,
self-healing, real-time diagnostics, and enhance observability platforms
for early anomaly detection.
- Smart Support Tools Development: Contribute to building smart
support tools like AI/ML summarizers, chatbots, and knowledge search
systems, and integrate LLM-based agents into workflows.
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