Remote AI Platform Developer

Placements24; Stellenbosch; Hybrid; ZAR 700,000 - 980,000; Full time

Benefits offered by this job

Health insurance

Home office setup allowance

Professional development budget

Remote-first culture

Job summary

Placements24 is seeking a Remote AI Platform Developer to join a distributed engineering team. You will design and maintain scalable cloud infrastructure supporting ML workflows, collaborating with AI scientists and engineers worldwide in a fully remote setting.

The role requires strong cloud, containerization, and software engineering practices, with a focus on robust platform delivery and performance. Excellent communication enables effective remote collaboration across time zones.

Qualifications

• BS in CS/Software Engineering or related field.
• 3+ years of software development in cloud platforms.
• Proficient in Python, Go or Java.
• Experience with Docker and Kubernetes.
• MLOps familiarity.
• Strong understanding of distributed systems.

Responsibilities

• Design, develop, and maintain scalable cloud-based AI infrastructure and platforms.
• Implement and manage containerization solutions for AI workloads.
• Develop and optimize CI/CD pipelines for ML model deployment and management.
• Build and maintain APIs and services for interacting with AI models and data.
• Collaborate with AI researchers and engineers to understand platform needs.
• Ensure reliability, security, and performance of the AI platform through monitoring and troubleshooting.

Skills

Cloud platforms

Python

Go

Java

Docker

Kubernetes

MLOps

Distributed systems

CI/CD

Remote teamwork

Education

Bachelor's degree

Tools

CI/CD pipelines

ML lifecycle tools

Job description

About the Role

Our client is looking for a skilled Remote AI Platform Developer to join their distributed engineering team, supporting operations originating from Paarl. You will be instrumental in building and maintaining the scalable infrastructure and tools that power our AI research and development efforts. This role requires a strong understanding of cloud technologies, containerization, and software engineering best practices, with a focus on creating robust and efficient platforms for machine learning workflows. You will collaborate with AI scientists and engineers globally to deliver high-quality solutions in a fully remote setting.

Key Responsibilities

• Design, develop, and maintain scalable cloud-based AI infrastructure and platforms.
• Implement and manage containerization solutions (e.g., Docker, Kubernetes) for AI workloads.
• Develop and optimize CI/CD pipelines for machine learning model deployment and management.
• Build and maintain APIs and services that enable seamless interaction with AI models and data.
• Collaborate with AI researchers and engineers to understand their platform needs and provide solutions.
• Ensure the reliability, security, and performance of the AI platform through proactive monitoring and troubleshooting.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 3+ years of experience in software development, with a focus on cloud platforms (AWS, Azure, or GCP).
• Proficiency in programming languages such as Python, Go, or Java.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Familiarity with MLOps principles and tools for managing the ML lifecycle.
• Strong understanding of distributed systems and microservices architecture.
• Excellent communication skills and ability to work effectively in a remote team environment.

Benefits

• Competitive salary and remote work flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office setup and professional development.
• Opportunity to work on impactful AI projects with a global team.
• A supportive and collaborative remote-first work culture.