Senior Data Scientist (Azure Data Engineering & MLOps)
Cape Town, Western Cape, South Africa
ZAR 900K-1200K (estimate) Senior-level Contract Full Time
Tasks
- Automate model training and testing
- Build batch data ingestion pipelines
- Build real-time data ingestion pipelines
- Create data models for analytics and reporting
- Create reproducible ML environments
- Deploy machine learning models
- Design scalable Azure data platforms
- Develop ELT solutions with Azure services
- Develop ETL solutions with Azure services
- Develop predictive machine learning models
- Develop prescriptive machine learning models
- Ensure data quality governance and performance
- Evaluate and improve machine learning models
- Implement model governance and versioning
- Implement observability for ML systems
- Monitor machine learning pipelines
- Perform exploratory data analysis
- Perform feature engineering
- Run machine learning experiments and validation
- Set up CI CD for machine learning
- Support POC to production migration
- Translate business requirements into production data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Event | Azure Event Hubs | Azure Functions | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Security | Data Warehousing | ELT | ETL | Event Hubs | Feature Engineering | Git | Machine Learning | Model Monitoring | Observability | PyTorch | Python | SQL | Scikit-learn | Spark | Synapse Analytics | TensorFlow
Education
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