Google Cloud - SME AI/Machine Learning (Mandarin Language Support)
At a glance
Mid-level Machine Learning Engineering role at Two95 International Inc. Kuala Lumpur · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Take the toughest enterprise escalations across Vertex AI, Gemini and Vertex AI Agent Builder to product engineering
- Lead P1 and P2 incident response, then explain technical root causes directly to enterprise customers
- Help frontline representatives resolve complex cases by serving as their technical link to product engineering
- Debug Python, APIs and distributed-system logs to investigate AI and machine-learning support issues
What you bring
- At least eight years in Tier 3 technical support, SRE or AI/ML engineering
- Fluent spoken and written Mandarin for customer and stakeholder conversations
- Hands-on knowledge of Google Cloud Platform, Gemini and the GenAI stack, including Vertex AI and agent-building tools
- Understanding of model deployment connections to BigQuery, IAM, Cloud Storage and VPCs
Who this fits
This mid-level role suits someone with deep technical support or engineering experience who can lead complex customer escalations and work across frontline and product teams. The job is onsite in Kuala Lumpur and requires rotational shifts and working on off days.
From the employer
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