Machine Learning Operations (MLOps) Engineer

Placements24; LegKraal Gate; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Performance bonuses

Health insurance

Learning & certification

Job summary

Placements24 is seeking a skilled MLOps Engineer to enhance AI & Emerging Technologies infrastructure in Mahikeng. The role focuses on the ML lifecycle from development to deployment, monitoring, and maintenance in a hybrid setup.

You will build and manage robust pipelines, collaborate with data scientists and software engineers, and ensure scalability, reliability, and security across production ML systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 3+ years in DevOps, MLOps, or Software Engineering with ML focus.
• Proficiency in Python, Bash and CI/CD tooling.
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes).
• Strong understanding of ML lifecycles and workflows.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Responsibilities

• Develop, automate, and maintain CI/CD pipelines for ML models.
• Manage infrastructure for training, deploying, and monitoring ML models.
• Ensure scalability, reliability, and performance of ML systems in production.
• Collaborate with data scientists and software engineers to operationalize ML workflows.
• Monitor model performance, drift, and retraining strategies.
• Manage MLOps tools to ensure security and compliance.

Skills

Python

CI/CD

Bash

Cloud platforms

ML workflows

ML frameworks

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to enhance their AI & Emerging Technologies infrastructure in Mahikeng . This role is pivotal in streamlining the machine learning lifecycle, from model development and training to deployment, monitoring, and maintenance. You will build and manage robust pipelines that enable efficient iteration and scaling of AI models, ensuring their reliability and performance in production. This hybrid position allows for flexibility while ensuring critical on-site collaboration for infrastructure management.

Key Responsibilities

• Develop, automate, and maintain CI/CD pipelines for machine learning models.
• Implement and manage infrastructure for training, deploying, and monitoring ML models.
• Ensure the scalability, reliability, and performance of AI/ML systems in production.
• Collaborate with data scientists and software engineers to operationalize machine learning workflows.
• Monitor ML model performance, identify drift, and implement retraining strategies.
• Manage MLOps tools and platforms, ensuring security and compliance.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps, MLOps, or Software Engineering with a focus on ML systems.
• Proficiency in scripting languages (e.g., Python, Bash) and CI/CD tools.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong understanding of machine learning workflows and lifecycle management.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Benefits

• Competitive annual salary and performance-based bonuses.
• Hybrid work model providing work-life balance.
• Comprehensive health, dental, and vision insurance.
• Opportunities for learning and certification in MLOps and cloud technologies.
• Key role in ensuring the smooth operation of advanced AI systems.