AI Engineer-2
ZAR 396K-480K (estimate) Mid-level Full Time
Tasks
- Build scalable data pipelines for AI models
- Collaborate with product engineering and infrastructure teams
- Collect, clean, and preprocess datasets
- Conduct exploratory data analysis and create visualizations
- Create prompt strategies and evaluation techniques
- Design conversational flows triggers and actions
- Develop and deploy AI models
- Ensure observability reliability scalability and security
- Integrate AI agents with external APIs and databases
- Integrate AI solutions into production environments
- Lead AI model architecture
- Mentor junior engineers and share knowledge
- Optimize model performance and mitigate bias and hallucinations
- Train test and fine tune ML and LLM models
- Write documented code and perform code reviews
Perks/Benefits
- Challenging work
- Culture of innovation and continuous learning
- Ethical AI focus
- Inclusive development culture
- Opportunities to network and collaborate
Skills/Tech-stack
AWS | Agentic Systems | Cloud platform | Conversational AI | Copilot Studio | Data Analysis | Data Pipelines | Data Preprocessing | Data Visualization | Deep learning | Docker | Exploratory Data Analysis | Git | Google Cloud | Google Cloud Platform | Huggingface | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Microsoft Azure | Natural Language | Natural Language Processing | Neural Networks | NumPy | Pandas | Power Automate | Prompt engineering | PyTorch | Python | Scalable data pipelines | Scikit-learn | TensorFlow | Transformers | Version control
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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