Programmer (AI/ML) – Operational Digital Twin
Tasks
- Design AI and machine learning components
- Develop and deploy model services
- Develop knowledge and query assistant
- Document model assumptions and limitations
- Implement model monitoring and retraining
- Integrate models with digital twin platform
- Perform feature engineering
- Prepare and transform data
- Support knowledge transfer
- Train and validate machine learning models
- Troubleshoot data drift accuracy and stability
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Accuracy Monitoring | Azure | Azure Machine Learning | Cloud Platforms | Data Aggregation | Data Drift | Data cleaning | Data drift monitoring | Data joining | Databricks | Drift monitoring | ESRI ArcGIS | Evaluation metrics | Feature Engineering | Geospatial Data | Language Models | Large Language Models | MLflow | Machine Learning | Microservices | Model Deployment | Model Training | Model Validation | NumPy | Overfitting | Pandas | Performance Tuning | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Series data | TensorFlow | Time Series | Time Series Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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