Senior AI Cloud Engineer: Scalable ML & MLOps

Placements24; Sandton; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary bonuses

Health insurance

Professional growth and training

Access to latest cloud technologies

Generous vacation policy

Job summary

Placements24 seeks a Senior AI Engineer in Sandton to design, build, and deploy scalable AI/ML solutions on major cloud platforms. You’ll collaborate with data scientists and DevOps to deliver robust cloud deployments.

Required: 5+ years in software development with AI/ML and cloud computing, Master’s degree, strong Python, and MLOps with Docker/Kubernetes. You’ll mentor junior engineers and shape best practices.

Qualifications

• Master's degree in Computer Science, Engineering, or related field.
• 5+ years of experience in software development with a focus on AI/ML and cloud computing.
• Proven experience deploying and managing AI/ML workloads on cloud platforms.

Responsibilities

• Design, develop, and deploy scalable AI/ML systems on major cloud platforms (AWS, Azure, GCP).
• Build and maintain robust CI/CD pipelines for machine learning models (MLOps).
• Optimize cloud infrastructure and AI models for performance, cost, and reliability.
• Collaborate with data scientists to operationalize models and manage their lifecycle.
• Ensure the security, scalability, and maintainability of AI solutions in the cloud.
• Mentor junior engineers and contribute to best practices in cloud AI engineering.

Skills

Python

Cloud platforms

AI/ML

MLOps

Docker

Kubernetes

Terraform

SageMaker

Azure ML

Vertex AI

Education

Master's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Terraform

SageMaker

Azure ML

Vertex AI

Job description

Placements24 seeks a Senior AI Engineer in Sandton to design, build, and deploy scalable AI/ML solutions on major cloud platforms. You’ll collaborate with data scientists and DevOps to deliver robust cloud deployments.

Required: 5+ years in software development with AI/ML and cloud computing, Master’s degree, strong Python, and MLOps with Docker/Kubernetes. You’ll mentor junior engineers and shape best practices.