Machine Learning Architect
ZAR 840K-1200K (estimate) Senior-level Full Time
Tasks
- Architect scalable data pipelines for AI and ML
- Build feature engineering and experimentation pipelines
- Collaborate with Data Engineering, Data Science, and Product teams
- Define AI and machine learning platform architecture
- Deploy and monitor machine learning models
- Design end to end ML workflows with Databricks
- Design secure and compliant AI architectures
- Establish observability and monitoring for ML systems
- Implement MLOps best practices with CI CD
- Integrate retrieval augmented generation vector databases and LLMs
- Manage model versioning and governance
- Optimize feature stores and data models
- Set up automated retraining and model drift detection
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Apache Airflow | Apache Spark | Automated retraining | Azure | CI/CD | Databricks | Delta Lake | Distributed Systems | Drift Detection | ELT | ETL | Feature Engineering | Feature Store | GCP | LLMs | Lakehouse | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Machine Learning Lifecycle Management | Machine learning lifecycle | Model Deployment | Model Drift | Model Drift Detection | Model Governance | Model versioning | Monitoring | Observability | Python | RAG | Retrieval-Augmented Generation | SQL | Unity Catalog | Vector Databases
Education
N/A
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