MLOps Engineer

Placements24; Stellenbosch Local Municipality; Hybrid; ZAR 720,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Professional development opportunities

Collaborative environment

Job summary

Placements24 in Paarl, Western Cape, is seeking a proactive MLOps Engineer to streamline the ML lifecycle, deploying, monitoring and maintaining models in production. This hybrid role blends ML, software engineering and DevOps to build robust pipelines and scalable infrastructure.

You will collaborate with data scientists and engineers on cloud workloads (AWS/Azure/GCP), Docker/Kubernetes, and CI/CD tools, with a strong emphasis on data and model validation, retraining strategies, and seamless

Qualifications

• 3+ years of experience in DevOps, software engineering, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, or GCP).
• Experience with containerization (Docker, Kubernetes) and CI/CD tools.

Responsibilities

• Design, build, and maintain scalable CI/CD pipelines for ML models.
• Implement infrastructure for model training, deployment, and serving.
• Monitor production model performance and plan retraining and updates.
• Automate data and model validation and production deployment.
• Collaborate with data scientists and software engineers to integrate ML models.
• Manage cloud infrastructure related to ML workloads.

Skills

DevOps experience

MLOps

Python scripting

Cloud platforms

CI/CD

Education

Bachelor's degree in Computer Science/Engineering

Tools

Docker

Kubernetes

Jenkins

GitLab CI

CircleCI

Job description

About the Role

Our client is seeking a proactive MLOps Engineer to join their team in Paarl, Western Cape . This role focuses on streamlining the machine learning lifecycle, ensuring the efficient deployment, monitoring, and management of ML models in production. You will work at the intersection of machine learning, software engineering, and DevOps, building robust pipelines and infrastructure to support our AI initiatives. This hybrid position offers a great opportunity to contribute to cutting-edge AI & Emerging Technologies projects while enjoying a flexible work arrangement.

Key Responsibilities

• Design, build, and maintain scalable and reliable CI/CD pipelines for machine learning models.
• Implement infrastructure for model training, deployment, and serving.
• Monitor model performance in production and implement strategies for retraining and updates.
• Automate the process of data validation, model validation, and production deployment.
• Collaborate with data scientists and software engineers to ensure seamless integration of ML models.
• Manage and optimize cloud infrastructure related to ML workloads.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps, software engineering, or MLOps.
• Proficiency with cloud platforms like AWS, Azure, or GCP.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• Understanding of machine learning concepts and workflows.
• Scripting skills in Python or similar languages.

Benefits

• Competitive salary and comprehensive benefits.
• Hybrid work model for work-life balance.
• Professional development opportunities in MLOps and AI infrastructure.
• Collaborative and innovative work environment in Paarl .
• Opportunity to work with leading AI technologies.