Machine Learning Engineer
ZAR 780K-860K (estimate) Senior-level Full Time
Tasks
- Apply LLMOps practices
- Apply MLOps practices
- Architect machine learning data ecosystem
- Build cloud based batch workflows
- Collaborate with data scientists and engineers
- Deploy ai models via apis and services
- Deploy using azure ai services and azure openai
- Design generative AI solutions
- Develop LLM-based applications
- Evaluate supervised unsupervised and nlp models
- Fine-tune models
- Implement prompt engineering
- Implement retrieval-augmented generation
- Monitor and evaluate AI solutions
- Optimize model performance reliability and cost
- Package and deploy ai solutions into production
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Services | Azure AI | Azure AI Services | Azure OpenAI | CI/CD | Databricks | Docker | Embeddings | Fine Tuning | Generative AI | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Microsoft Azure | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Testing | Vector Databases | Version control
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