Principal/Staff ML/AI Engineer, Product Engineering, STPG
Fab 10N/X, Singapore
SGD 101K-168K (estimate) Senior-level Full Time
Tasks
- Access clean and structure probe and wafer data
- Analyze structured data for actionable insights
- Build and validate ML workflows for semiconductor datasets
- Build predictive models for yield and reliability
- Contribute to technical papers and patents
- Deploy ML models using production inference workflows
- Develop intelligent agents to automate engineering tasks
- Evaluate CDS work and recommend AI methods
- Integrate agents with enterprise tools
- Mentor and upskill citizen data scientists
- Reduce test time and improve yield with AI
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Azure ML | CI/CD | Confluence | Copilot Studio | Data Modeling | Decision Trees | Distributed Computing | Gradient boosting | Jira | LLM integration | Langchain | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Microsoft Copilot | Microsoft Copilot Studio | Model Deployment | Model Inference | Model Lifecycle | Model Lifecycle Management | NumPy | Pandas | Power Automate | PyTorch | Python | Regression | Scikit-learn | SharePoint | TensorFlow
Education
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