AI & Optimization Engineer
Tasks
- Define AI and optimization strategies for operational efficiency
- Design data models schemas and telemetry structures
- Develop deploy and optimize machine learning models for anomaly detection
- Develop deploy and optimize machine learning models for automation and performance optimization
- Develop deploy and optimize machine learning models for predictive maintenance
- Document AI architectures and modeling assumptions
- Improve model explainability scalability and reliability
- Integrate AI capabilities into systems workflows APIs and production environments
- Monitor model performance and reliability in production
- Translate operational challenges into data-driven solutions
Perks/Benefits
- 100 percent remote work
- Autonomous work environment
- Career growth opportunities
- Flexible work environment
- International team collaboration
Skills/Tech-stack
Anomaly Detection | Data Modeling | Data Pipelines | Data schemas | Docker | IoT | JavaScript | Machine Learning | Model Drift | Model Monitoring | Node.js | Predictive Maintenance | PyTorch | Python | Scikit-learn | 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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