Senior AI Engineer - Cloud Platforms

Placements24; Randburg; Hybrid; ZAR 1,200,000 - 1,600,000; Full time

Benefits offered by this job

Health insurance

Professional development opportunities

Retirement plan

Generous vacation policy

Job summary

Placements24 in Randburg is seeking a Senior AI Engineer to design, build, and deploy scalable AI/ML solutions on major cloud platforms. You will architect robust MLOps pipelines, ensuring efficient model deployment, monitoring, and lifecycle management.

The role involves collaborating with data scientists and engineers to operationalize ML models, optimizing AI workloads for cost and performance, and implementing IaC/CI/CD practices for reliable AI deployments in a dynamic cloud environment.

Qualifications

• Bachelor’s or Master’s in CS/Engineering or related field.
• 5+ years in software engineering with AI/ML and cloud tech.
• Proficiency in Python and TensorFlow or PyTorch.
• Experience with Docker, Kubernetes and MLOps.
• Experience with IaC and CI/CD for AI deployments.

Responsibilities

• Design, develop, and implement scalable AI/ML solutions on cloud platforms.
• Build and maintain MLOps pipelines for training, deployment, monitoring, and management.
• Collaborate with data scientists and engineers to operationalize models.
• Optimize AI workloads for performance, cost, and scalability in cloud environments.
• Implement IaC and CI/CD practices for AI deployments.
• Troubleshoot and resolve AI infrastructure and deployed model issues.

Skills

Python

AI/ML

TensorFlow

PyTorch

MLOps

CI/CD

Education

Bachelor's degree in CS/Engineering or related field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Terraform

Job description

About the Role

Our client is looking for a seasoned Senior AI Engineer with deep expertise in cloud platforms to join their innovative team in Randburg . This role will focus on designing, building, and deploying scalable AI and machine learning solutions on major cloud infrastructures. You will play a critical role in architecting robust MLOps pipelines, ensuring efficient model deployment, monitoring, and lifecycle management. This is an exciting opportunity for an experienced engineer to contribute to high-impact AI projects, working with cutting-edge cloud technologies and influencing the direction of AI infrastructure.

Key Responsibilities

• Design, develop, and implement scalable AI/ML solutions leveraging cloud platforms (AWS, Azure, or GCP).
• Build and maintain robust MLOps pipelines for model training, deployment, monitoring, and management.
• Collaborate with data scientists and engineers to operationalize machine learning models.
• Optimize AI workloads for performance, cost, and scalability in cloud environments.
• Implement infrastructure as code (IaC) and CI/CD practices for AI deployments.
• Troubleshoot and resolve issues related to AI infrastructure and deployed models.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, with a focus on AI/ML and cloud technologies.
• Proven experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
• Expertise in containerization (Docker) and orchestration (Kubernetes).
• Solid understanding of MLOps principles and best practices.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for professional development, including cloud certifications and training.
• Collaborative and forward-thinking work environment in Randburg .
• Generous vacation policy and retirement savings plan.