Senior AI Engineer - Cloud Platforms

Placements24; Polokwane; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote position

Competitive salary

Professional development budget

Global team

Job summary

Placements24 is seeking an experienced Senior AI Engineer to join a fully remote team. The role focuses on designing, building, and deploying scalable AI/ML solutions within cloud environments, ensuring robust infrastructure and cost-efficient workloads.

You will lead MLOps pipelines, optimize AI models, and collaborate with data scientists and software engineers to deliver distributed AI services for a global client base.

Qualifications

• Bachelor's or Master's degree in CS/Engineering.
• 5+ years in software or cloud architecture with a focus on AI/ML.
• Experience with at least one major cloud platform (AWS/Azure/GCP) and AI/ML services.

Responsibilities

• Design, build, and deploy scalable AI/ML solutions on cloud platforms.
• Architect cloud infra optimized for AI workloads (compute, storage, network).
• Implement and maintain MLOps pipelines for training, deployment, monitoring.
• Optimize models for performance, scale, and cost in cloud environments.
• Collaborate with data scientists and engineers to integrate AI solutions.

Skills

Python

Docker

Kubernetes

Cloud platforms

MLOps

Terraform

Education

Bachelor's or Master's in CS/Engineering

Tools

Terraform

CloudFormation

Job description

About the Role

Our client is seeking an experienced Senior AI Engineer to join their fully remote team, focusing on leveraging cutting-edge cloud platforms. This role is pivotal in designing, building, and deploying scalable AI and machine learning solutions within cloud environments. You will be responsible for architecting robust infrastructure, optimizing AI workloads for performance and cost, and ensuring the seamless integration of AI services. The ideal candidate possesses deep expertise in cloud technologies, strong AI/ML fundamentals, and a proven ability to deliver complex, distributed systems. Join a forward-thinking company committed to innovation and remote-first collaboration.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML solutions on major cloud platforms (AWS, Azure, GCP).
• Architect and manage cloud infrastructure optimized for AI workloads, including compute, storage, and networking.
• Implement and maintain MLOps pipelines for efficient model training, deployment, and monitoring in the cloud.
• Optimize AI models and applications for performance, scalability, and cost-efficiency in cloud environments.
• Collaborate with data scientists and software engineers to ensure successful integration of AI solutions.
• Stay updated on the latest cloud AI services and best practices, recommending and implementing new technologies.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in software engineering or cloud architecture, with a strong focus on AI/ML.
• Deep expertise with at least one major cloud platform (AWS, Azure, GCP) and its AI/ML services.
• Proficiency in programming languages like Python and experience with containerization (Docker, Kubernetes).
• Solid understanding of machine learning concepts, MLOps principles, and distributed systems.
• Experience with infrastructure as code (e.g., Terraform, CloudFormation) is highly desirable.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote position, offering maximum flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, including certifications and online courses.
• Opportunity to work on impactful AI projects with a global team.
• Cutting-edge technology stack and a culture of innovation.