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