Senior AI Platform Engineer

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

Benefits offered by this job

Fully remote work arrangement

Job summary

Placements24 is seeking a Senior AI Platform Engineer to build and maintain scalable AI infrastructure. This role requires designing, deploying, and managing AI/ML platforms across cloud environments to support data scientists and ML engineers.

You will implement CI/CD pipelines, container orchestration with Kubernetes, and monitoring solutions while collaborating across teams to ensure security and performance of the platform.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 5+ years in infrastructure engineering focusing on MLOps or AI platforms.
• Strong experience with cloud services (AWS/Azure/GCP).
• Proficiency with Docker and Kubernetes.
• Experience with Terraform and Ansible.
• Proficiency in Python and scripting.

Responsibilities

• Design, implement, and manage scalable AI/ML platforms on cloud environments (AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for ML models and infrastructure.
• Manage container orchestration platforms like Kubernetes for deploying and scaling ML workloads.
• Implement monitoring, logging, and alerting solutions for AI/ML infrastructure.
• Collaborate with data scientists and ML engineers to understand platform needs and provide solutions.
• Ensure the security, reliability, and performance of the AI platform.

Skills

Python

Scripting

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

About the Role

Our client is seeking an experienced Senior AI Platform Engineer to build and maintain the infrastructure that powers our artificial intelligence initiatives in Kimberley . You will be responsible for designing, deploying, and managing scalable AI/ML platforms, ensuring reliability, performance, and security. This role involves working with cloud services, containerization technologies, and data pipelines to support data scientists and ML engineers. This is a critical role for an individual passionate about building robust infrastructure for cutting-edge AI applications.

Key Responsibilities

• Design, implement, and manage scalable AI/ML platforms on cloud environments (AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for machine learning models and infrastructure.
• Manage container orchestration platforms like Kubernetes for deploying and scaling ML workloads.
• Implement monitoring, logging, and alerting solutions for AI/ML infrastructure.
• Collaborate with data scientists and ML engineers to understand their platform needs and provide solutions.
• Ensure the security, reliability, and performance of the AI platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in infrastructure engineering, with a focus on MLOps or AI platforms.
• Strong experience with cloud computing platforms and services.
• Proficiency in containerization technologies (Docker, Kubernetes).
• Experience with infrastructure-as-code tools (Terraform, Ansible).
• Familiarity with programming languages like Python and scripting.

Benefits

• Highly competitive salary and bonus potential.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working hours.
• Significant opportunities for professional development and learning new technologies.
• A fully remote work arrangement with regular virtual team activities.