Hybrid AI Platform Engineer - Scale ML Pipelines

Placements24; Soweto; Hybride; ZAR 600 000 - 900 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Medical aid

Retirement fund

Paid time off

Training opportunities

Résumé du poste

Placements24 in Soweto, Gauteng, is seeking an AI Platform Software Engineer to help build and maintain scalable AI infrastructure. You will develop APIs, data pipelines, and deployment mechanisms to support ML workflows and data science teams.

The role emphasizes collaboration with data scientists and strong software engineering practices. The ideal candidate has experience with Python/Java/Go, cloud platforms, and containerization, and thrives in a fast-paced tech environment.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• Proven software development experience building scalable systems.
• Experience with Python, Java, or Go.
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with Docker, Kubernetes and data pipelines.
• Understanding of AI/ML concepts and workflows.
• Strong problem-solving and collaboration skills.

Responsabilités

• Develop and maintain scalable software components for the AI platform.
• Build and optimize data pipelines for ingestion, processing and feature engineering.
• Create and manage APIs for accessing AI models and services.
• Implement robust deployment, monitoring, and management of models.
• Collaborate with data scientists and ML engineers to ensure usability and performance.
• Write clean, efficient, well-documented code.
• Troubleshoot platform infrastructure issues and contribute to architecture decisions.

Connaissances

Python

Java

Go

Formation

Bachelor's degree in Computer Science or related field

Outils

AWS

Docker

Kubernetes

Apache Spark

Description du poste

Placements24 in Soweto, Gauteng, is seeking an AI Platform Software Engineer to help build and maintain scalable AI infrastructure. You will develop APIs, data pipelines, and deployment mechanisms to support ML workflows and data science teams.

The role emphasizes collaboration with data scientists and strong software engineering practices. The ideal candidate has experience with Python/Java/Go, cloud platforms, and containerization, and thrives in a fast-paced tech environment.