Hybrid MLOps Engineer: Scale & Stabilize ML Deployments

Placements24; Rustenburg; Hybrid; ZAR 600,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Medical aid

Pension/retirement contributions

Hybrid work model in Rustenburg

Training & conferences

Job summary

Placements24 is hiring an MLOps Engineer in Rustenburg, North West for a hybrid role bridging ML development and production deployment. You will design and maintain CI/CD pipelines, automate deployment and monitoring, and manage cloud-based ML infrastructure to ensure reliable, scalable operation.

You will collaborate with data scientists and software engineers, implement drift monitoring, and optimize workflows for cost and reliability.

Qualifications

• 3+ years of software engineering, DevOps, or MLOps experience with ML focus.
• Proven experience building and managing CI/CD pipelines for ML models.
• Proficiency in Python and cloud platforms.

Responsibilities

• Design, implement, and manage CI/CD pipelines for ML models.
• Automate deployment, monitoring, and scaling of ML models in production.
• Develop and maintain infrastructure for data and model versioning.
• Implement monitoring for model performance, drift, and health.
• Collaborate with data scientists and software engineers for seamless deployment.
• Optimize ML workflows for efficiency and cost-effectiveness.
• Manage cloud-based ML infrastructure (AWS, Azure, GCP).
• Develop and maintain documentation for MLOps processes and tools.
• Troubleshoot ML deployment issues in production."],
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Skills

Python

CI/CD

Problem-solving

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Terraform

AWS

Azure

GCP

Job description

Placements24 is hiring an MLOps Engineer in Rustenburg, North West for a hybrid role bridging ML development and production deployment. You will design and maintain CI/CD pipelines, automate deployment and monitoring, and manage cloud-based ML infrastructure to ensure reliable, scalable operation.

You will collaborate with data scientists and software engineers, implement drift monitoring, and optimize workflows for cost and reliability.