Remote AI MLOps Engineer - Build & Scale ML Pipelines

Placements24; Gqeberha; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Health benefits

Annual leave

Paid sick leave

Learning budget

Remote-friendly culture

Team virtual events

Job summary

Placements24 is seeking a highly skilled Remote AI Engineer specializing in MLOps to design, deploy, and monitor scalable ML pipelines. You will build CI/CD for ML workloads, automate retraining, and ensure production reliability across AWS, Azure, or GCP, with Docker and Kubernetes orchestration.

The role requires a strong foundation in ML concepts, 4+ years in MLOps, and deep experience with Kubeflow, MLflow, and cloud tooling.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience (4+ years) in MLOps engineering or a similar role.
• Strong understanding of machine learning concepts and the ML lifecycle.
• Hands-on experience with MLOps tools and platforms (e.g., Kubeflow, MLflow, Seldon Core, BentoML).
• Proficiency in cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
• Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Solid programming skills in Python and experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Excellent problem-solving skills and the ability to work independently in a remote environment.
• Strong communication skills, with the ability to collaborate effectively across distributed teams.

Responsibilities

• Design, implement, and manage scalable MLOps pipelines for model training, evaluation, deployment, and monitoring.
• Develop and maintain CI/CD strategies for machine learning models.
• Automate the process of model retraining and versioning to ensure models remain up-to-date and performant.
• Implement robust monitoring solutions to track model performance, data drift, and system health in production.
• Collaborate closely with AI/ML engineers and data scientists to deploy models efficiently and reliably.
• Containerize ML applications using Docker and orchestrate them using Kubernetes or similar platforms.
• Manage cloud infrastructure (AWS, Azure, or GCP) for AI/ML workloads.
• Troubleshoot and resolve issues related to ML deployments and infrastructure.
• Contribute to the development of best practices and documentation for MLOps.
• Stay current with the latest tools and trends in MLOps and AI infrastructure.

Skills

Python

ML concepts

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Kubeflow

MLflow

Seldon Core

BentoML

Jenkins

GitLab CI

GitHub Actions

Terraform

AWS

Azure

GCP

Job description

Placements24 is seeking a highly skilled Remote AI Engineer specializing in MLOps to design, deploy, and monitor scalable ML pipelines. You will build CI/CD for ML workloads, automate retraining, and ensure production reliability across AWS, Azure, or GCP, with Docker and Kubernetes orchestration.

The role requires a strong foundation in ML concepts, 4+ years in MLOps, and deep experience with Kubeflow, MLflow, and cloud tooling.