Two95 International

Google Cloud SME AI/Machine Learning

Implementation & Technical Account ManagementConfirmed live in the last 24 hours

Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listed

About the Job

Requirements

Must have experience with Google Cloud Platform and Gemini.
Must be fluent in Mandarin, spoken and written.
Must have 8 or more years of experience in Tier 3 technical support, Site Reliability Engineering, and AI/ML engineering.
Must be open to rotational shifts and off days.
A strong understanding of how machine-learning model deployments interact with BigQuery, Identity and Access Management, Cloud Storage, and virtual private clouds is required.

Responsibilities

Serve as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.
Act as the bridge between frontline representatives and Google Product Engineering.
Manage P1/P2 crises, provide technical root-cause analyses directly to enterprise customers, and accelerate L1/L2 teams.
Support enterprise customers and stakeholders directly in Mandarin.

Desired Qualifications

Experience with Vertex AI Pipelines, Endpoints, and Vector Search; Gemini APIs; and agentic architectures, including function calling, Agent Development Kit, and Agent Builder.
Systems and code debugging skills, strong Python coding and debugging skills, API troubleshooting, and distributed-systems log analysis using Cloud Logging and Monitoring.
Stakeholder management, escalation handling, cross-functional collaboration, communication, problem-solving, and ownership and accountability.

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

Two95 International Inc. · Kuala Lumpur, Malaysia · Full-time · Posted 2026-08-19

Workplace: on_site

Description

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

Apply

Apply at Two95 International Inc.

About the Company

Two95 International

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
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