Industrial Automation AI Engineer
Tasks
- Apply AI security requirements
- Build predictive models
- Build prescriptive models
- Collaborate with software engineers
- Deploy AI solutions
- Design machine learning solutions
- Develop embeddings based search
- Develop forecasting models
- Develop retrieval augmented generation assistants
- Ensure data quality
- Ensure model explainability
- Ensure responsible AI compliance
- Explore multi agent systems
- Explore reinforcement learning
- Generate AI recommendations
- Integrate AI with DCS
- Integrate AI with IoT platforms
- Integrate AI with PLC
- Integrate AI with SCADA
- Integrate AI with historians
- Monitor model performance
- Perform anomaly detection
Perks/Benefits
Skills/Tech-stack
Agent systems | Anomaly Detection | Condition-Based Maintenance | DCS | Deep learning | Embeddings | Forecasting | Generative AI | Historians | Industrial IoT | IoT | Keras | Language Models | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Optimization | PLC | Predictive Maintenance | PyTorch | Python | Reinforcement Learning | Reliability Analytics | Retrieval-Augmented Generation | SCADA | Scikit-learn | Series analysis | TensorFlow | Time Series | Time Series Analysis | Vector Databases
Education
Bachelor of Arts | 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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