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Artificial Intelligence Engineer

2 weeks ago

Ang Mo Kio, Singapore Advantest Full time

We're looking for a curious, self-motivated AI Engineer to join our team and help build next-generation intelligent solutions. In this hands-on role, you'll partner with senior engineers to design, develop, and deploy AI models that automate and optimize core business processes.

**Key Responsibilities**
- **Identify AI Use Cases**:Work with teams (Field Service, Sales, Operations) to spot opportunities where AI can streamline processes or add value.
- **Evaluate AI Services**:Research and compare pre-built models and cloud AI offerings (e.g., Azure Cognitive Services, Power Automate AI Builder) to find the best fit.
- **Prototype Solutions**:Rapidly assemble proof-of-concepts—using low-code tools or simple scripts—to demonstrate AI-driven automation (e.g., ticket triage, document summarization, anomaly detection).
- **Integrate Seamlessly**:Partner with RPA and software teams to hook AI APIs into existing workflows and dashboards, ensuring a smooth end-user experience.
- **Measure Success**:Define KPIs (accuracy, time saved, user satisfaction), track performance, and iterate on prompts, thresholds, or configuration to improve results.
- **Train & Enable Users**:Develop clear how-to guides and run live demos so internal teams can adopt AI tools confidently and troubleshoot common issues.
- **Monitor & Report**:Keep an eye on usage metrics, uptime, and ROI; prepare concise updates on wins, challenges, and next steps for stakeholders.
- **Stay Current**:Continuously survey new AI tools and industry trends, recommending enhancements or new services to drive ongoing operational excellence.
- **Understand Business Needs**: Partner with stakeholders (Field Service, Sales, Operations) to gather requirements, define goals, and map out where AI can add value.
- **Select & Configure Models**: Evaluate pre-built AI/ML services and open-source models (NLP, computer vision, predictive analytics). Customize settings, prompts, or pipelines to fit specific use cases.
- **Prototype AI Solutions**: Quickly assemble proof-of-concepts using low-code platforms (e.g., Power Automate AI Builder, Azure Cognitive Services) or lightweight Python scripts. Demonstrate how AI can automate document processing, ticket triage, anomaly detection, or other workflows.
- **Validate & Iterate**: Measure solution impact against KPIs (accuracy, time saved, user satisfaction). Solicit feedback, refine prompts, adjust thresholds, and retrain models or rules as needed.
- **Train & Support Users**: Create simple guides and demo sessions for internal teams. Help them understand AI outputs, troubleshoot issues, and adopt best practices.
- **Monitor & Report**: Track solution performance, usage metrics, and ROI. Prepare concise reports and presentations that showcase successes, lessons learned, and next steps.
- **Stay Informed**: Keep up with emerging AI tools, frameworks, and industry trends. Recommend new features or services that could further enhance our operations.

**Requirements**:
**What We're Looking For**
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
- Strong programming skills in Python (libraries such as TensorFlow, PyTorch, or scikit-learn)
- Solid grasp of core AI/ML concepts (algorithms, evaluation metrics, overfitting/underfitting)
- Eagerness to learn new tools and frameworks—prior professional experience is _not_ required
- Excellent problem-solving mindset, logical thinking, and a collaborative spirit

**Strongly Desired**:
Strong programming skills

Data Analytics Experience