Machine Learning Engineer
Tasks
- Build ML pipelines
- Collaborate with data engineers and developers
- Data preparation
- Document ML implementations
- Feature engineering
- Implement CI CD for ML components
- Implement retraining and feedback mechanisms
- Integrate models into APIs and services
- Manage deployment versions
- Monitor data drift and model drift
- Monitor model performance
- Operationalize ML solutions
- Train machine learning models
- Tune models
- Validate model performance
Perks/Benefits
Skills/Tech-stack
Azure DevOps | CI/CD | Data Drift | Databricks | Docker | Dynatrace | Experiment tracking | Feature Engineering | Langgraph | Logging | MLOps | Machine Learning | Metrics | Model Drift | Model Registry | Model Validation | Ollama | OpenTelemetry | PyTorch | Python | SQL | Scikit-learn
Education
N/A
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