Skip to the page

Google Cloud - SME AI/Machine Learning (Mandarin Language Support)

Two95 International Inc.WorkableKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Posted 19 AugFound 19 OctSeen 3 hours ago

Check your resume for this job's 15 skills, free. Then have AI tailor it.

Fit

The keywords the posting names, against what your resume says.

Add your resume to see which of its keywords you already have, and get a resume tailored to this posting. 10 a month, free.

The Posting

JOB DESCRIPTION:

Primary Skill:

  • Must have – Google Cloud Platform, Gemini, fluent in Mandarin
  • Deep Google GenAI Stack: Vertex AI (Pipelines, Endpoints, Vector Search), Gemini APIs, and Agentic architectures (Function Calling, Agent Development Kit, Agent Builder).
  • Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery, IAM, Cloud Storage, and VPCs.
  • High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams
  • Ideal: Systems & Code Debugging skills, Strong Python coding/debugging skills, API troubleshooting, and distributed systems log analysis (Cloud Logging/Monitoring).

Secondary Skill:

  • Stakeholder management
  • Escalation handling
  • Cross-functional collaboration
  • Communication skills
  • Problem-solving
  • Ownership & accountability

Description:

  • This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.
  • Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.
  • 8+ years in Tier 3 Technical Support, SRE, and AI/ML Engineering.
  • Mandarin Fluency (Spoken & Written) for direct engagement with enterprise customers and stakeholders.
  • Must open to work in rotational shift & off day

Facts

Source
Workable
External id
AF19292393
Location
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Remote
Not stated
Employment
Full time
Posted
19 Aug 2026
First seen
19 Oct 2026, 18:40
Last seen
2 Nov 2026, 04:27
Status
Not yet added
Posting id
fe23fc50-aac5-50c5-bbc9-1b72c5254ac6