Senior AI Platform Engineer – Onsite, Cloud & MLOps Lead

Placements24

Bloemfontein

On-site

ZAR 1,000,000 - 1,400,000

Full time

33 hours ago
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Benefits offered by this job

Health insurance
Retirement contributions
Performance bonuses
Paid time off

Job summary

Placements24 in Welkom is seeking a Senior AI Platform Engineer to join our growing technology division. You will design, build, and maintain scalable AI/ML infrastructure, enabling efficient model development and deployment.

Collaborate with data scientists and ML engineers, implement CI/CD pipelines, manage cloud workloads across AWS/Azure/GCP, and ensure security and reliability of AI platforms. This on-site role offers hands-on work with cutting-edge AI tech and opportunities for

Qualifications

  • 5+ years of experience in software engineering, focusing on infrastructure and MLOps.
  • Experience building and managing scalable cloud infrastructures (AWS, Azure, or GCP).
  • Strong understanding of containerization (Docker, Kubernetes).
  • Proficiency in scripting languages (Python, Bash, Go).
  • Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI).
  • Knowledge of ML frameworks and tools (TensorFlow, PyTorch, MLflow).
  • Familiarity with data storage and processing technologies.

Responsibilities

  • Design, build, and maintain scalable AI/ML infrastructure and platforms.
  • Develop and implement CI/CD pipelines for ML models and AI applications.
  • Manage and optimize cloud-based infrastructure for AI workloads.

Skills

MLOps
Cloud infrastructure
CI/CD pipelines
Python scripting
Go

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker
Kubernetes
TensorFlow
PyTorch
MLflow
Git

Job description

Placements24 in Welkom is seeking a Senior AI Platform Engineer to join our growing technology division. You will design, build, and maintain scalable AI/ML infrastructure, enabling efficient model development and deployment.

Collaborate with data scientists and ML engineers, implement CI/CD pipelines, manage cloud workloads across AWS/Azure/GCP, and ensure security and reliability of AI platforms. This on-site role offers hands-on work with cutting-edge AI tech and opportunities for

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