AI/ML Platform Developer

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work

Growth opportunities

Job summary

Placements24 invites an experienced AI/ML Platform Developer to join our Sandton engineering team in a hybrid role. You will build and maintain scalable platforms and tools that empower data scientists and ML engineers to develop, train, and deploy AI models at scale.

The role requires strong software development experience, familiarity with MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• Proven experience in software development, with a focus on building platforms or infrastructure for AI/ML.
• Strong proficiency in programming languages like Python, Java, or Go.

Responsibilities

• Develop, implement, and maintain scalable AI/ML platforms and infrastructure.
• Build and optimize tools and services for data ingestion, feature engineering, model training, and deployment.
• Integrate best practices for MLOps, including CI/CD pipelines, monitoring, and version control for ML artifacts.
• Collaborate with data scientists and ML engineers to understand their requirements and provide robust solutions.
• Ensure the performance, reliability, and security of the AI/ML platform.

Skills

Python

Java

Go

CI/CD

MLOps

Data engineering

Education

Bachelor's or Master's in CS/Software Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a talented and experienced AI/ML Platform Developer to join their engineering division in Sandton . This hybrid role focuses on building and maintaining the robust platforms and tools that empower data scientists and machine learning engineers to develop, train, and deploy AI models at scale. You will play a key role in enhancing our AI development ecosystem, ensuring it is efficient, reliable, and user-friendly. The ideal candidate is proficient in software development, familiar with MLOps principles, and passionate about enabling cutting-edge AI innovation through superior engineering.

Key Responsibilities

• Develop, implement, and maintain scalable AI/ML platforms and infrastructure.
• Build and optimize tools and services for data ingestion, feature engineering, model training, and deployment.
• Integrate best practices for MLOps, including CI/CD pipelines, monitoring, and version control for ML artifacts.
• Collaborate with data scientists and ML engineers to understand their requirements and provide robust solutions.
• Ensure the performance, reliability, and security of the AI/ML platform.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• Proven experience in software development, with a focus on building platforms or infrastructure for AI/ML.
• Strong proficiency in programming languages like Python, Java, or Go.
• Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Familiarity with MLOps principles, ML frameworks, and data engineering concepts.

Benefits

• Competitive salary and benefits package, including potential bonuses.
• Hybrid work model providing flexibility and work-life balance.
• Opportunity to work on challenging and impactful AI platform development.
• Continuous learning and professional growth opportunities.
• A dynamic and innovative team environment at the forefront of AI technology.