Senior AI/ML Engineer - Production ML & MLOps Randburg

Placements24; Randburg; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Professional development

Advanced tools

Career advancement

Retirement plan

Competitive salary

Team collaboration

Job summary

Placements24 in Randburg, Gauteng, seeks a Senior AI/ML Engineer to design and maintain production ML pipelines and scalable infrastructure. You will deploy models, monitor performance, and collaborate with data scientists, software engineers, and operations teams to ensure reliability and efficiency.

Responsibilities include building CI/CD pipelines for ML updates, implementing observability, and optimizing models for production across AWS/Azure/GCP, Docker, and Kubernetes, all within a

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of software engineering experience, with at least 3 years focused on building and deploying production ML systems.
• Strong programming skills in Python, Java, or Scala.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools.
• Proficiency in cloud platforms (AWS, Azure, GCP) and ML services.
• Solid understanding of containers (Docker) and orchestration (Kubernetes).
• Experience with data pipelines, Airflow, and distributed systems.
• Strong engineering practices including testing, CI/CD, and monitoring.
• Excellent problem-solving and collaboration in production environments.

Responsibilities

• Design, develop, and maintain scalable production ML pipelines and infrastructure.
• Deploy ML models into production with high availability and performance.
• Implement monitoring, logging, and alerting for ML services.
• Collaborate with data scientists to optimize models for production.
• Develop and manage CI/CD pipelines for ML updates and deployments.
• Troubleshoot production issues in ML systems under pressure.
• Work with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes).
• Automate operational tasks related to ML system management.
• Stay updated with MLOps best practices and emerging technologies.

Skills

Python

Java

Scala

ML deployment

Cloud computing

Distributed systems

Problem solving

Team collaboration

Education

Bachelor's or Master's in CS/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Airflow

Docker

Kubernetes

CI/CD tooling

Job description

Placements24 in Randburg, Gauteng, seeks a Senior AI/ML Engineer to design and maintain production ML pipelines and scalable infrastructure. You will deploy models, monitor performance, and collaborate with data scientists, software engineers, and operations teams to ensure reliability and efficiency.

Responsibilities include building CI/CD pipelines for ML updates, implementing observability, and optimizing models for production across AWS/Azure/GCP, Docker, and Kubernetes, all within a