AI Platform Engineer — Scalable ML Infra & APIs

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Stock options

Generous paid time off

Flexible work arrangements

Professional development

Job summary

Placements24 is seeking an AI Software Engineer to join our Randburg, Gauteng team. You will design, develop, and deploy scalable AI-enabled software, collaborating with researchers to translate complex requirements into robust systems.

You will work on data processing, model training, and inference, using Python, Java, or C++, with cloud platforms and container tech, plus ML libraries, to deliver high-performance infrastructure.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
• 5+ years of professional software development experience.
• Strong Python programming with Flask/Django experience.
• Experience with cloud platforms and containerization (Docker, Kubernetes).
• Experience with AI/ML concepts and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with distributed systems and SQL/NoSQL databases.

Responsibilities

• Design, develop, and maintain scalable software for AI/ML platforms.
• Implement and optimize data processing, model training, and inference algorithms.
• Develop APIs and services for AI capabilities integration.
• Write clean, efficient code in Python/Java/C++.
• Collaborate with researchers to deploy models into the platform.
• Apply MLOps practices for deployment, monitoring, and management.

Skills

Python

Java

C++

ML Libraries

Distributed Systems

Cloud Platforms

Education

Bachelor's or Master's in CS/Software Engineering

Tools

Flask

Django

Docker

Kubernetes

AWS/Azure/GCP

Job description

Placements24 is seeking an AI Software Engineer to join our Randburg, Gauteng team. You will design, develop, and deploy scalable AI-enabled software, collaborating with researchers to translate complex requirements into robust systems.

You will work on data processing, model training, and inference, using Python, Java, or C++, with cloud platforms and container tech, plus ML libraries, to deliver high-performance infrastructure.