Remote AI Platform Engineer

Placements24; Stellenbosch; Hybrid; ZAR 600,000 - 1,100,000; Full time

Benefits offered by this job

Health insurance

Flexible hours

Remote work

Home office allowance

Global projects

Job summary

Placements24 is hiring a Remote AI Platform Engineer to design, build, and maintain scalable cloud infrastructure for AI/ML workloads. You’ll develop and manage CI/CD pipelines, MLOps practices, and data storage solutions while ensuring reliability and performance for teams that span the globe.

You will collaborate with data scientists and ML engineers to optimize workflows and tooling, enabling rapid innovation from a distributed team across remote locations.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience as a Platform/DevOps engineer focused on AI/ML infrastructure.
• Cloud proficiency (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• MLOps tools and model deployment/lifecycle experience.
• Strong scripting (Python, Bash) and troubleshooting skills.

Responsibilities

• Design, build, and manage scalable cloud infrastructure for AI/ML workloads.
• Develop and maintain CI/CD pipelines for ML models and applications (MLOps).
• Implement and manage data storage, processing, and warehousing for large datasets.
• Monitor performance, troubleshoot issues, and ensure reliability of AI platforms.
• Collaborate with data scientists and ML engineers to optimize workflows.

Skills

Cloud platforms

Docker

Kubernetes

Python

Bash

MLOps

CI/CD

Education

Bachelor's degree

Tools

CI/CD tools

Job description

About the Role

Our client is seeking a skilled Remote AI Platform Engineer to build and maintain the infrastructure that powers their cutting-edge artificial intelligence initiatives. This fully remote role is crucial for ensuring the scalability, reliability, and efficiency of our AI development and deployment pipelines. You will be responsible for designing, implementing, and managing the cloud-based platforms, MLOps tools, and data infrastructure that enable our data science and engineering teams to innovate rapidly. We are looking for a proactive and experienced engineer who thrives in a distributed team environment and is passionate about creating robust, state-of-the-art AI development environments, serving clients globally from Paarl .

Key Responsibilities

• Design, build, and manage scalable cloud infrastructure for AI/ML workloads (e.g., AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for machine learning models and applications (MLOps).
• Implement and manage data storage, processing, and warehousing solutions for large datasets.
• Monitor system performance, troubleshoot issues, and ensure the reliability and availability of AI platforms.
• Collaborate with data scientists and ML engineers to optimize workflows and development environments.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Platform Engineer, DevOps Engineer, or similar role, with a focus on AI/ML infrastructure.
• Strong proficiency with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Experience with MLOps tools and practices for model deployment and lifecycle management.
• Excellent scripting and automation skills (e.g., Python, Bash) and strong troubleshooting abilities.

Benefits

• Highly competitive salary commensurate with remote work experience.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible working hours and the ability to work from anywhere.
• Generous allowance for home office setup and professional development.
• Opportunity to work on impactful AI projects with a global team.