AI Platform Engineer - MLOps

Placements24; Soweto; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote work

Growth opportunities

Paid time off

Retirement plan

Home office stipend

Learning & development

Job summary

Placements24 is seeking a highly skilled AI Platform Engineer specializing in MLOps to join a distributed team. The role is fully remote and focuses on building, deploying, and maintaining the infrastructure and tools that support the AI/ML lifecycle.

You will automate model training, deployment, monitoring, and management to ensure scalable, reliable, and cost-efficient pipelines. You will collaborate with data scientists and ML engineers, apply IaC practices, and stay ahead with the latest

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proven experience in software engineering, DevOps, or MLOps focusing on AI/ML platforms.
• Strong proficiency in Python and cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools and IaC (Terraform/Ansible).

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML models.
• Develop scalable infrastructure for model training and inference on cloud platforms.
• Implement tools for model monitoring, logging, and performance tracking.
• Automate model deployment, versioning, and rollback processes.
• Collaborate with data scientists and ML engineers to support platform needs.
• Ensure security, reliability, and cost-efficiency of the AI platform.
• Manage container orchestration (Kubernetes) for ML workloads.
• Develop infrastructure as code for the AI platform.
• Stay current with emerging MLOps tools and best practices.
• Troubleshoot AI platform and ML deployment issues.

Skills

Python

MLOps

CI/CD

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins/GitHub Actions/GitLab CI

Job description

About the Role

Our client is seeking a highly skilled AI Platform Engineer specializing in MLOps to join their distributed team, working remotely. This role is critical in building, deploying, and maintaining the infrastructure and tools that support our AI/ML development lifecycle. You will be responsible for automating and optimizing the processes for model training, deployment, monitoring, and management, ensuring scalability, reliability, and efficiency. This is an exceptional opportunity to shape the core infrastructure enabling our AI innovations and to work with a talented team dedicated to advancing AI capabilities. We are looking for an individual passionate about the intersection of AI, software engineering, and DevOps, with a proven ability to build robust and scalable platforms. Your contributions will directly impact the speed and effectiveness of our AI initiatives.

Key Responsibilities

• Design, build, and maintain the CI/CD pipelines for machine learning models.
• Develop and manage scalable infrastructure for model training and inference on cloud platforms.
• Implement tools and practices for model monitoring, logging, and performance tracking.
• Automate model deployment, versioning, and rollback processes.
• Collaborate with data scientists and ML engineers to understand their needs and provide platform support.
• Ensure the security, reliability, and cost-effectiveness of the AI platform.
• Manage and optimize container orchestration platforms (e.g., Kubernetes) for ML workloads.
• Develop and maintain infrastructure as code (IaC) for the AI platform.
• Stay current with emerging MLOps tools, technologies, and best practices.
• Troubleshoot and resolve issues related to the AI platform and ML deployments.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Proven experience in software engineering, DevOps, or MLOps, with a focus on AI/ML platforms.
• Strong proficiency in programming languages such as Python.
• Experience with cloud platforms (AWS, Azure, GCP) and their relevant AI/ML services.
• Expertise in containerization technologies (Docker) and orchestration (Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts and the ML development lifecycle.
• Experience with infrastructure as code tools (e.g., Terraform, Ansible).
• Strong scripting and automation skills.
• Excellent problem-solving and communication abilities.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work environment with flexibility.
• Opportunities for significant professional growth and skill development.
• Work on cutting-edge AI infrastructure and MLOps practices.
• Collaborative and innovative team culture.
• Generous paid time off.
• Retirement savings plan.
• Home office stipend and equipment.
• Continuous learning and development support.