Medior Machine Learning Engineer - MLOps & Azure (In dienst of freelance)
Tasks
- Build machine learning models
- Deploy ML models to production services
- Detect data drift and model drift
- Document technical choices and operational assumptions
- Ensure reliability scalability and cost control
- Implement retraining and feedback mechanisms
- Implement version control for code and models
- Integrate ML models into backend services
- Monitor latency and errors
- Orchestrate ML workflows
- Perform feature engineering
- Prepare and process data
- Set up ML pipelines and CI CD
- Set up model monitoring and alerting
- Track experiments and models
- Train and test models
- Tune model performance
- Use model registry
- Validate models before production
Perks/Benefits
Skills/Tech-stack
.NET | Azure | Azure DevOps | C# | CI/CD | Datadrift | Docker | Dynatrace | MLOps | Machine Learning | Model Monitoring | Modeldrift | OpenTelemetry | PyTorch | Python | SQL | Scikit-learn
Education
N/A
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