Remote AI/ML Engineer & MLOps Expert | Unlimited PTO

Placements24; Vereeniging; Hybrid; ZAR 1,969,000 - 2,953,000; Full time

Benefits offered by this job

Fully remote work arrangement withflex

Generous home office setup budget

Unlimited paid time off

Professional development and virtual |

Job summary

Placements24 is seeking an AI/ML Engineer with a specialization in MLOps to join a remote, fast-growing tech team.

You’ll design, build, and maintain scalable MLOps infrastructure, automate data ingestion, model training, validation, deployment, and monitoring, and manage versioning and rollback. Collaborate with data scientists, containerize with Docker, orchestrate Kubernetes, and work across AWS/Azure/GCP with IaC tools like Terraform/Ansible.

Qualifications

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

Responsibilities

• Design, build, and maintain scalable MLOps infrastructure and CI/CD pipelines for machine learning models.
• Automate the end-to-end ML workflow, including data ingestion, model training, validation, deployment, and monitoring.
• Implement tools and processes for model versioning, testing, and rollback.
• Develop and manage monitoring systems to track model performance, detect drift, and ensure system health.
• Collaborate with data scientists and ML engineers to optimize model deployment and inference.
• Containerize ML applications using Docker and orchestrate them using Kubernetes.
• Work with cloud platforms (e.g., AWS, Azure, GCP) to provision and manage ML infrastructure.
• Troubleshoot and resolve issues related to ML deployments and infrastructure.
• Contribute to the development of best practices for MLOps and machine learning engineering.
• Stay up-to-date with the latest MLOps tools, technologies, and methodologies.

Skills

CI/CD pipelines for ML

Python

ML frameworks

Git

Cloud platforms

Containerization

Kubernetes

Documentation

Education

Bachelor's or Master's degree in CS/Engineering or related

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

Placements24 is seeking an AI/ML Engineer with a specialization in MLOps to join a remote, fast-growing tech team.

You’ll design, build, and maintain scalable MLOps infrastructure, automate data ingestion, model training, validation, deployment, and monitoring, and manage versioning and rollback. Collaborate with data scientists, containerize with Docker, orchestrate Kubernetes, and work across AWS/Azure/GCP with IaC tools like Terraform/Ansible.