AI Support Engineer: Troubleshoot, Automate & Collaborate

Lean Solutions Group

Philippines

On-site

PHP 1,487,000 - 2,602,000

Full time

7 days ago
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Job summary

Lean Solutions Group seeks an AI Support Engineer to troubleshoot complex issues on the DataRobot AI Platform, bridging customers and engineering by reproducing bugs, providing workarounds, and delivering fixes through tickets and calls.

Ideal candidates have Linux administration, basic Python scripting, and solid ML lifecycle knowledge, enabling effective support in a fast-paced, global environment.

Qualifications

  • Bachelor’s degree or equivalent experience in a technical field.
  • 2+ years supporting enterprise tech/data customers with hands-on Salesforce ServiceCloud experience.
  • Strong Linux administration, log reading/monitoring, and troubleshooting networking issues.
  • Python scripting ability for automation and debugging.
  • Solid understanding of ML model training lifecycle and AI tools.
  • Excellent written and verbal English communication.

Responsibilities

  • Troubleshoot complex user issues via tickets, email, and live calls.
  • Join weekend Sev-1 on-call rotation and act as Incident Communicator during SaaS incidents.
  • Collaborate with engineers, PMs, and data scientists to reproduce edge-case bugs and deliver fixes.
  • Create temporary workarounds and write knowledge base articles to prevent repeats.
  • Help build internal models/scripts to automate support workflows and improve resolution times.

Skills

Linux & Systems
Python scripting
Machine Learning fundamentals
Communication

Education

Bachelor’s degree in CS/Data Science/Eng

Tools

Salesforce ServiceCloud
Kubernetes
Docker
AWS
Azure
GCP
SQL/NoSQL

Job description

Lean Solutions Group seeks an AI Support Engineer to troubleshoot complex issues on the DataRobot AI Platform, bridging customers and engineering by reproducing bugs, providing workarounds, and delivering fixes through tickets and calls.

Ideal candidates have Linux administration, basic Python scripting, and solid ML lifecycle knowledge, enabling effective support in a fast-paced, global environment.

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