AI Engineer (Data Scientist)
15 Alice Lane, South Africa
ZAR 700K-860K (estimate) Senior-level Full Time
Tasks
- Build agent evaluation frameworks and safety boundary testing
- Build model pipelines for end to end auditability scalability versioning and monitoring
- Conduct explainability bias and fairness testing
- Deploy human in the loop workflows with audit trails
- Design RAG architectures using vector databases and orchestration frameworks
- Design develop test and deploy production grade agentic AI systems
- Design develop test and deploy production grade generative AI solutions
- Design develop test and deploy production grade machine learning solutions
- Ensure AI guardrails input sanitisation output validation and action constraints
- Implement agent memory architectures and retrieval workflows
- Implement model documentation model cards and data sheets
- Integrate responsible AI controls into CI CD pipeline
- Monitor model drift retrain and optimize production models
- Perform model risk management lifecycle documentation and monitoring
Perks/Benefits
- AI practitioner community participation
- Mentoring junior data scientists
- Responsible AI governance forum involvement
Skills/Tech-stack
AI Foundry | AML | AWS Bedrock | AWS Bedrock Agents | Agentic AI | Autogen | Azure AI Foundry | Basel III | Bedrock Agents | Bias Testing | CI/CD | Credit Risk | CrewAI | DALEX | Data Governance | Data Localisation | Databricks | Explainable AI | Fairness testing | Faiss | Fraud Detection | Generative AI | Hugging Face | Human-in-the-loop | IFRS 9 | KYC | LIME | Langchain | Langgraph | Language Processing | Llamaindex | MLOps | Machine Learning | Microsoft Azure | Microsoft Azure AI | Microsoft Azure AI Foundry | Milvus | Model Risk Management | Model risk | Natural Language | Natural Language Processing | OpenSearch | Pinecone | RAG | Risk Management | SHAP | The Loop | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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