Design, develop, and deploy AI systems using machine learning and deep learning models. Work with Python frameworks such as TensorFlow and PyTorch. Collaborate with international research teams.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🧠 AI Engineer – Typical Responsibilities
An AI Engineer usually works on building and deploying AI systems. Typical tasks include:
- Developing machine learning / deep learning models
- Building AI-powered applications or APIs
- Working with Python frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Training models using large datasets
- Deploying models to cloud or production environments
- Integrating AI into software systems or research projects
Most AI engineer roles expect:
Programming
- Python (essential)
- Sometimes Java, C++, or JavaScript
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AI / ML Skills
- Machine Learning
- Deep Learning
- NLP (Natural Language Processing)
- Computer Vision
Tools & Frameworks
- PyTorch / TensorFlow
- Hugging Face
- OpenAI / LLM APIs
- Docker / Kubernetes (for deployment)
Data
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- Data preprocessing
- SQL / NoSQL databases
- Data pipelines
Even if the job says Singapore, a remote role means you might:
- Work from anywhere
- Join meetings in Singapore time zone
- Collaborate with international research teams
The Faculty of Engineering and the Built Environment at the University of Johannesburg offers engineering and technology programs and collaborates globally with industry and research partners.
This suggests the job might be for:
- Research AI development
- Academic AI projects
- Industry collaboration projects
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