The Responsibilities of the Role:
- A prioritized AI delivery roadmap with use cases, data dependencies, business owners, baselines and acceptance criteria.
- Tested pilots and production releases for agreed priority initiatives, supported by reusable integrations and documented operating procedures.
- Evaluation datasets, monitoring dashboards and benefit reports showing quality, adoption, operating cost and operational impact.
- User guidance, technical handover and a feedback loop that improves recommendations, knowledge and forecasts after deployment.
- Business problem framing, stakeholder communication and translating service workflows into measurable AI use cases.
Interpersonal and thinking skills
- Creative thinking: identify practical AI opportunities, develop alternative approaches and test ideas against operational needs.
- Logical and critical thinking: structure ambiguous problems, assess evidence, challenge assumptions and explain conclusions clearly.
- Speaking and communication: explain AI concepts and recommendations clearly to technical teams, service partners and business stakeholders; listen actively and adapt to the audience.
- Presentation skills: deliver concise, persuasive presentations and demonstrations that connect AI capabilities, evidence, risks and business outcomes.
Collaboration and stakeholder management
- Collaboration and stakeholder management: build trust across functions and markets, handle differing views constructively and support adoption through feedback and user coaching.
Preferred skills
- Experience in technical support, field service, repair operations, service quality or spare-parts planning.
- Cloud AI platforms, enterprise knowledge search, vector databases and BI reporting tools.
- Integration with enterprise case management, CRM, ERP or inventory systems; multilingual support and regional workflows.
The Requirement for the Role:
- Power BI, Python and SQL; data preparation, validation, analytical investigation and API integration.
- Practical LLM application development, retrieval-augmented generation, prompt design, tool use and structured outputs. (Claude, Codex, Copilot Studio)
- Applied machine learning for anomaly detection, classification or forecasting, with sound evaluation and baseline comparisons.
What We Offer:
- Competitive Salary: RM 4,000 - RM 5,000
- Performance Bonuses: Quarterly bonuses for confirmed staff.
- Generous Leave: 15 days of annual leave and 14 days of medical leave.
- Comprehensive Insurance: Medical and hospitalization coverage.