Junior AI Engineer

3 days ago

Pretoria, Gauteng, South Africa 60 Degrees Full time R734 000 - R1 142 000 per year

Job Description

THE OPPORTUNITY THAT AWAITS YOU

Top grads wanted. Real AI. Real systems. Real scale.
 
A top Telco networking hub is building its next generation of AI capability — and are on the lookout for 5 razor-sharp Graduate AI Engineers to join the transformation. You'll help build production-grade AI systems for one of South Africa's leading ISPs, working across the full AI stack: data engineering, machine learning, MLOps, LLMs, cloud infrastructure, and internal AI platform tooling.
 
This is a high-performance opportunity for academically strong, self-driven grads who want to move from theory to impact — fast.
 
As a launchpad into specialised AI engineering paths, you'll rotate through technical domains to find your fit, work closely with senior engineers and product teams, and grow alongside a solid team.

YOUR KEY RESPONSIBILITIES

  • Train and deploy ML models (NLP, vision, generative AI)
  • Build APIs and microservices for AI deployment
  • Design scalable data pipelines (SQL/NoSQL/vector DBs)
  • Contribute to CI/CD, model monitoring, and retraining
  • Work with cloud infra (AWS, GCP, Azure), Docker & Kubernetes
  • Help build AI platform tools and internal workflows
  • Translate business problems into real-world AI solutions
  • Build AI systems with real-world use cases and business impact
  • Hands-on work with LLMs, RAG, vector DBs, MLOps, and prompt engineering
  • Collaborate with product, engineering, and data teams
  • A launchpad into specialised AI engineering paths — ML, platform, data, or MLOps
OUR REQUIRED EXPERTISE
  • Bachelor's or Honours in Computer Science, Data Science, Engineering, or similar
  • Cum Laude or strong academic record (2024/2025 grads)
  • Python + SQL fundamentals, Git, and basic ML/AI knowledge
  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Strong interest in AI engineering and end-to-end delivery
Bonus points for:
  • ML frameworks (TensorFlow, PyTorch), LLM tools, or MLOps platforms
  • Hackathons, Kaggle comps, GitHub projects, or AI-focused final year work
  •  

YOUR REWARD

  • Competitive salary range
  • 12-month grad programme with the opportunity to join the team on a permanent basis
  • Professional development through training, certifications, and conferences.
  • Clear specialisation pathways in AI/ML domains.
  • Collaborative, technically rigorous culture.
  • Opportunity to build and shape modern AI capability from the ground up.
  • Cohort-based approach - you'll be learning alongside 4 peers.

For more roles, please have a look at our website (). or follow us on LinkedIn )


 

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