Machine Learning Engineer - Cloud
Tasks
- Build data pipelines
- Collect preprocess analyze datasets
- Create evaluation frameworks
- Deploy machine learning models
- Design scalable machine learning models
- Detect data drift and performance degradation
- Implement backend services for devices and applications
- Integrate models with backend services
- Manage technical risks
- Test evaluate monitor deployed models
- Train fine-tune optimize models
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Big Data | C++ | Cloud infrastructure | Data Drift | Data Drift Detection | Data Pipelines | Data Preprocessing | Distributed Computing | Drift Detection | GCP | Java | Model Deployment | Model Evaluation | PyTorch | Python | R | Scikit-learn | Signal Processing | Speech signal processing | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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