AI & Optimization Engineer
Tasks
- Continuously improve models with monitoring and drift handling
- Define AI and optimization strategies for operational efficiency
- Design and maintain scalable data models and telemetry structures
- Develop deploy and optimize machine learning models for anomaly detection and predictive maintenance
- Develop deploy and optimize machine learning models for automation and operational forecasting
- Document AI architectures modeling assumptions and AI workflows
- Integrate AI capabilities into systems workflows APIs and production environments
- Monitor model performance reliability explainability and scalability in live operations
- Translate operational challenges into data driven solutions and actionable insights
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Data Modeling | Data Pipelines | Docker | Explainable AI | JavaScript | Machine Learning | Model Drift | Node.js | Optimization | Predictive Maintenance | PyTorch | Python | Scikit-learn | Telemetry | TensorFlow | Time Series | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Optimization Engineer
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