Hybrid MLOps Engineer: AI Pipelines & Production

Placements24; Polokwane; Hybrid; ZAR 540.000 - 900.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Performance bonuses

Comprehensive health, dental, and view

Retirement savings plan

Hybrid work model in Polokwane

Zusammenfassung

Placements24 is seeking an experienced MLOps Engineer for the Polokwane office to bridge ML model development and deployment. You will design and automate scalable ML pipelines, training, deployment, and monitoring in production environments.

You will collaborate with data scientists and software engineers to optimize performance, ensure reliability, and uphold security and compliance across ML operations, with a hybrid work setup in Polokwane.

Qualifikationen

• Bachelor's degree in CS, Eng or related field.
• 2+ years in MLOps/DevOps/ML-focused software
• Proficiency in Python and shell scripting.

Aufgaben

• Build, automate, and maintain CI/CD pipelines for ML models.
• Manage infrastructure for training, deploying, and monitoring ML models in production.
• Collaborate with data scientists and software engineers to optimize model performance and deployment strategies.
• Develop tools for experiment tracking, model versioning, and reproducibility.
• Monitor ML systems for performance, reliability, and scalability; implement improvements.
• Ensure security and compliance of ML operations and infrastructure.

Kenntnisse

Python

Shell scripting

Ausbildung

Bachelor's degree in Computer Science / Engineering

Tools

Docker

Kubernetes

MLflow

Kubeflow

Jobbeschreibung

Placements24 is seeking an experienced MLOps Engineer for the Polokwane office to bridge ML model development and deployment. You will design and automate scalable ML pipelines, training, deployment, and monitoring in production environments.

You will collaborate with data scientists and software engineers to optimize performance, ensure reliability, and uphold security and compliance across ML operations, with a hybrid work setup in Polokwane.