AI/ML Platform Engineer

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

Benefits offered by this job

Competitive compensation

Health and wellness benefits

Professional development in AI/ML

Collaborative work environment in Rand

Flexible working options

Job summary

Placements24 in Randburg is seeking an experienced AI/ML Platform Engineer to design, build, and maintain scalable MLOps pipelines that support model training, deployment, and monitoring. You will develop and manage the AI/ML infrastructure on cloud platforms (AWS/Azure/GCP), and ensure secure, reliable operations in production.

You will implement automation for ML workflows, data management, and model versioning, collaborating with data scientists and engineers to optimize performance and

Qualifications

• Bachelor's degree in Computer Science, Engineering or a related technical field.
• 4+ years of experience in software engineering or DevOps with a focus on AI/ML platforms.
• Proficiency in cloud computing platforms and containerization (Docker, Kubernetes).
• Experience with CI/CD tools and automation frameworks.
• Understanding of machine learning concepts and the ML development lifecycle.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines for model training, deployment, and monitoring.
• Develop and manage the AI/ML infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Implement tools and processes for automating ML workflows, data management, and model versioning.
• Collaborate with data scientists and engineers to optimize model performance and reliability in production.
• Ensure the security, stability, and scalability of the AI/ML platform.

Skills

Cloud platforms

Docker

Kubernetes

CI/CD

ML concepts

MLOps

Education

Bachelor's degree in Computer Science/Engineering

Tools

CI/CD tools

Automation frameworks

Job description

About the Role

Our client is looking for an experienced AI/ML Platform Engineer to join their dynamic team in Randburg . This role is crucial for building, scaling, and maintaining the infrastructure that supports their artificial intelligence and machine learning initiatives. You will be responsible for developing robust, efficient, and reliable MLOps pipelines, ensuring smooth deployment, monitoring, and management of ML models. The ideal candidate possesses strong software engineering skills combined with a deep understanding of AI/ML workflows and cloud infrastructure, contributing to a high-performance engineering culture.

Key Responsibilities

• Design, build, and maintain scalable MLOps pipelines for model training, deployment, and monitoring.


• Develop and manage the AI/ML infrastructure on cloud platforms (e.g., AWS, Azure, GCP).


• Implement tools and processes for automating ML workflows, data management, and model versioning.


• Collaborate with data scientists and engineers to optimize model performance and reliability in production.


• Ensure the security, stability, and scalability of the AI/ML platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.


• 4+ years of experience in software engineering or DevOps, with a focus on AI/ML platforms .


• Proficiency in cloud computing platforms and containerization technologies (Docker, Kubernetes).


• Experience with CI/CD tools and automation frameworks.


• Understanding of machine learning concepts and the ML development lifecycle.

Benefits

• Competitive compensation and performance-based incentives.


• Comprehensive health and wellness benefits.


• Opportunities for professional development and skill enhancement in AI/ML engineering .


• A highly collaborative and innovative work environment in Randburg .


• Generous paid time off and flexible working options.