AI Engineer (Contract) - Chemicals Business (Rayong Based)
Tasks
- Build end to end data pipelines for model training and monitoring
- Build soft sensors and virtual analyzers for quality estimation
- Deploy production AI ML models into plant workflows
- Develop AI ML solutions for manufacturing use cases
- Implement MLOps practices for versioning testing CI CD monitoring and retraining
- Implement Vision AI for safety inspection and monitoring
- Implement anomaly detection and early warning systems
- Integrate models with historians control systems and decision workflows
- Translate plant problems into KPIs and measurable use cases
- Work with industrial data sources to ensure data quality and contextualization
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure | CI/CD | Classification | Clustering | Computer Vision | Docker | Feature Engineering | Git | Google Cloud | MLOps | Machine Learning | Model Evaluation | Python | REST API | Regression | SQL | Time Series | Vision AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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