Remote AI/ML Platform Engineer

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Home office stipend

Continuous learning resources

Paid volunteer time

Wellness programs

Job summary

WhatJobs Direct is seeking an experienced Remote AI/ML Platform Engineer to design, build, and maintain scalable ML infrastructure that powers advanced AI initiatives.

You will implement CI/CD pipelines, manage data and model versioning, automate MLOps workflows, and collaborate with a globally distributed team to deliver robust, secure, and cost-efficient platforms. This fully remote role includes a competitive salary and home-office stipend.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3+ years of software engineering, DevOps, or platform engineering.
• Proven experience building ML platforms or MLOps infrastructure.
• Strong proficiency with at least one major cloud platform (AWS/Azure/GCP) and services (e.g., SageMaker, Azure ML, Vertex AI).
• Experience with containerization (Docker, Kubernetes).
• Proficiency in Python, Go, or Java.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Understanding of ML concepts and workflows.

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for ML models and applications.
• Implement and optimize tools for data management, model training, versioning, and deployment.
• Automate MLOps workflows to streamline the ML lifecycle.
• Collaborate with data scientists and ML engineers to understand platform needs and provide solutions.
• Monitor platform performance, identify bottlenecks, and implement improvements.
• Ensure security, reliability, and cost-effectiveness of the ML infrastructure.
• Stay current with emerging MLOps tools and best practices.
• Develop documentation and provide training on platform usage.
• Troubleshoot and resolve ML platform issues.

Skills

Cloud platforms

MLOps

CI/CD pipelines

Programming: Python/Go/Java

Docker/Kubernetes

Terraform/Ansible

Security & cost optimization

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins/GitHub Actions

Job description

About the Role

Our client, WhatJobs Direct, is seeking an experienced Remote AI/ML Platform Engineer to build and maintain the infrastructure that powers their advanced artificial intelligence and machine learning initiatives. This is a fully remote position, ideal for an engineer passionate about creating robust, scalable, and efficient ML platforms. You will be instrumental in developing and managing the tools, systems, and workflows that enable data scientists and ML engineers to develop, train, deploy, and monitor models efficiently. The ideal candidate has a strong background in software engineering, DevOps, and experience with cloud-native technologies and MLOps principles. Join a collaborative, globally distributed team and help shape the future of AI development at WhatJobs Direct.

Key Responsibilities

• Design, build, and maintain scalable and reliable AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for machine learning models and applications.
• Implement and optimize tools for data management, model training, versioning, and deployment.
• Automate MLOps workflows to streamline the machine learning lifecycle.
• Collaborate with data scientists and ML engineers to understand their platform needs and provide solutions.
• Monitor platform performance, identify bottlenecks, and implement improvements.
• Ensure the security, reliability, and cost-effectiveness of the ML infrastructure.
• Stay current with emerging MLOps tools, technologies, and best practices.
• Develop documentation and provide training on platform usage.
• Troubleshoot and resolve issues related to the ML platform.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering, DevOps, or platform engineering.
• Proven experience building and managing ML platforms or MLOps infrastructure.
• Strong proficiency in at least one major cloud platform (AWS, Azure, GCP) and their relevant services (e.g., SageMaker, Azure ML, Vertex AI).
• Experience with containerization technologies (Docker, Kubernetes).
• Proficiency in programming languages such as Python, Go, or Java.
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts and workflows.
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible) is a plus.
• Strong problem-solving and troubleshooting skills.

Benefits

Join WhatJobs Direct in this fully remote capacity and receive a highly competitive salary, comprehensive benefits package, and performance-based bonuses. We offer a flexible work environment, opportunities for professional development, and the chance to work on cutting-edge AI technology. As part of our commitment to employee well-being, we provide a home office setup stipend, continuous learning resources, and a supportive global team. This role offers significant impact and growth potential within our expanding AI division. Additional benefits include paid volunteer time and wellness programs.