AI Cloud Solutions Engineer

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

Benefits offered by this job

Competitive salary

Remote-first environment

Health & wellness benefits

Flexible working hours

Opportunities for learning and certs

Job summary

Placements24 invites an AI Cloud Solutions Engineer to design, deploy, and optimize AI workloads on major cloud platforms from a fully remote setting. You will collaborate with data scientists, ML engineers, and software developers to ensure scalable and secure AI systems in the cloud.

This role emphasizes MLOps, CI/CD, and continuous evaluation of new cloud technologies, enabling remote teams to deliver cutting-edge AI deployments at scale.

Qualifications

• Bachelor's degree in CS/Engineering/IT or related field.
• 4+ years of cloud engineering with AI/ML infrastructure focus.
• Hands-on with AWS, Azure, GCP and AI/ML services (SageMaker, Azure ML, Vertex AI).
• Proficiency with IaC tools (Terraform, CloudFormation) and container tech (Docker, Kubernetes).
• Strong networking, security, and data storage fundamentals in cloud environments.
• Experience with MLOps, CI/CD, monitoring, and model deployment practices.
• Strong scripting (Python, Bash), problem-solving, and remote collaboration skills.

Responsibilities

• Design, build, and maintain cloud infrastructure for AI/ML workloads.
• Deploy and manage AI/ML services on AWS, Azure, and GCP.
• Optimize cloud resources for cost, performance, and scalability.
• Implement MLOps for CI/CD, deployment, monitoring, and management.
• Collaborate with data scientists and ML engineers on infrastructure needs.
• Develop IaC for AI environments and ensure security/compliance.
• Troubleshoot cloud infra and AI deployments; evaluate new cloud tech.
• Provide guidance to teams using cloud AI services.

Skills

Cloud engineering

AI/ML infra

AWS

Azure

GCP

SageMaker

Azure ML

Vertex AI

Terraform

CloudFormation

CI/CD

Docker

Kubernetes

Python

Bash

Networking

Security

Data storage

MLOps

Monitoring

Education

Bachelor's degree in Computer Science / Engineering / IT

Tools

Terraform

CloudFormation

Docker

Kubernetes

Job description

About the Role

Our client, a leading innovator in AI and emerging technologies, is seeking a highly skilled AI Cloud Solutions Engineer to join their dynamic team. This is a completely remote position, offering the flexibility to work from anywhere while contributing to groundbreaking AI projects. You will be instrumental in designing, deploying, and optimizing AI workloads on leading cloud platforms (AWS, Azure, GCP). This role requires a deep understanding of both cloud infrastructure and artificial intelligence principles, enabling you to architect scalable, efficient, and secure AI solutions. You will collaborate with data scientists, ML engineers, and software developers to ensure their AI models and applications run seamlessly in the cloud. We are committed to building a strong, distributed team and providing the tools and support needed for remote success. If you are passionate about cloud computing and AI, and thrive on solving complex technical challenges, this is an exceptional opportunity. Your expertise will be crucial in enabling our client's AI initiatives through robust cloud-based infrastructure. Join us in pushing the boundaries of what's possible with AI in the cloud.

Key Responsibilities

• Design, build, and maintain cloud infrastructure specifically for AI and machine learning workloads.
• Deploy and manage AI/ML services and applications on major cloud platforms (AWS, Azure, GCP).
• Optimize cloud resources for cost-efficiency, performance, and scalability of AI operations.
• Implement MLOps best practices for CI/CD, model deployment, monitoring, and management.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs.
• Develop and maintain infrastructure as code (IaC) for AI environments.
• Ensure security and compliance of cloud-based AI systems.
• Troubleshoot and resolve issues related to cloud infrastructure and AI deployments.
• Evaluate and recommend new cloud technologies and services for AI applications.
• Provide technical guidance and support to teams utilizing cloud AI services.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• Proven experience (4+ years) in cloud engineering, with a strong focus on AI/ML infrastructure.
• Hands-on experience with major cloud providers (AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Proficiency in infrastructure as code tools like Terraform or CloudFormation.
• Experience with containerization technologies (Docker, Kubernetes).
• Solid understanding of networking, security, and data storage concepts in cloud environments.
• Familiarity with MLOps principles and tools.
• Strong scripting skills (e.g., Python, Bash).
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills, essential for a remote role.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health and wellness benefits.
• Generous paid time off and flexible working hours.
• Opportunities for continuous learning, certifications, and professional development.
• Work with cutting-edge cloud and AI technologies.
• A supportive and collaborative remote-first work environment.
• Direct impact on enabling large-scale AI deployments.