Hybrid MLOps Specialist: Deploy & Scale AI

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

Benefits offered by this job

Hybrid work model

Professional development

Competitive salary

Job summary

Placements24 in Vereeniging is seeking an experienced Machine Learning Operations (MLOps) Specialist to advance our AI deployment lifecycle. You will design and optimize automated pipelines for training, deploying, and monitoring ML models in production.

Collaborate with data scientists and software engineers to ensure scalable, secure ML systems, implement versioning and testing, and maintain CI/CD practices in a hybrid work environment.

Qualifications

• Bachelor's degree in CS, Engineering or related field.
• 3+ years in DevOps, SRE or MLOps focusing on machine learning.
• Proficiency with cloud platforms and Kubernetes.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong CI/CD and automation skills.

Responsibilities

• Design, build, and maintain automated MLOps pipelines for model training, deployment, and monitoring.
• Implement strategies for model versioning, testing, and rollback.
• Monitor the performance and health of ML models in production, identifying and resolving issues.
• Collaborate with data scientists and engineers to optimize model deployment processes.
• Ensure compliance with security and governance standards for ML systems.

Skills

DevOps

SRE

MLOps

CI/CD

Automation

Model deployment

Monitoring

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Kubernetes

AWS

Azure

GCP

TensorFlow

PyTorch

Scikit-learn

Job description

Placements24 in Vereeniging is seeking an experienced Machine Learning Operations (MLOps) Specialist to advance our AI deployment lifecycle. You will design and optimize automated pipelines for training, deploying, and monitoring ML models in production.

Collaborate with data scientists and software engineers to ensure scalable, secure ML systems, implement versioning and testing, and maintain CI/CD practices in a hybrid work environment.