Senior AI Engineer - MLOps

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

Benefits offered by this job

Salary and bonus structure

Health, dental, and vision insurance

Paid time off

Retirement savings plan

Professional development

Collaborative team culture

Job summary

Placements24 in Mahikeng, North West, seeks a Senior AI Engineer specializing in MLOps to build, deploy, and maintain robust ML systems across the production lifecycle. The role offers a hybrid work arrangement, balancing on-site collaboration with remote work flexibility to ensure reliability and scalability of AI solutions.

You will design end-to-end MLOps pipelines, manage training infrastructure, automate workflows, and collaborate with data scientists and software engineers to deliver

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in software engineering, with a strong focus on MLOps and AI/ML systems.
• Proficiency in Python and experience with containerization technologies (Docker, Kubernetes).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Solid understanding of machine learning concepts and the ML lifecycle.
• Experience with CI/CD tools and practices for ML model deployment.
• Ability to thrive in a hybrid work environment in Mahikeng.

Responsibilities

• Design, implement, and manage end-to-end MLOps pipelines for machine learning models.
• Develop and maintain infrastructure for model training, deployment, and monitoring.
• Automate ML workflows, including data validation, model retraining, and A/B testing.
• Collaborate with data scientists and software engineers to ensure seamless integration of ML models into production.
• Implement strategies for model versioning, rollback, and performance tracking.
• Ensure the scalability, reliability, and security of ML systems in a production environment.

Skills

Python

MLOps

CI/CD for ML

AI/ML systems

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a seasoned Senior AI Engineer with a specialization in MLOps to join their dynamic team in Mahikeng , North West. This role is pivotal in building, deploying, and maintaining robust machine learning systems that leverage cutting-edge AI & Emerging Technologies . You will be responsible for establishing and optimizing the entire ML lifecycle, from data pipelines to model deployment and monitoring. The position offers a hybrid work arrangement , combining the benefits of on-site collaboration with the flexibility of remote work. You will play a key role in ensuring the reliability, scalability, and efficiency of our client's AI solutions.

Key Responsibilities

• Design, implement, and manage end-to-end MLOps pipelines for machine learning models.
• Develop and maintain infrastructure for model training, deployment, and monitoring.
• Automate ML workflows, including data validation, model retraining, and A/B testing.
• Collaborate with data scientists and software engineers to ensure seamless integration of ML models into production.
• Implement strategies for model versioning, rollback, and performance tracking.
• Ensure the scalability, reliability, and security of ML systems in a production environment.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in software engineering, with a strong focus on MLOps and AI/ML systems.
• Proficiency in Python and experience with containerization technologies (e.g., Docker, Kubernetes).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Solid understanding of machine learning concepts and the ML lifecycle.
• Experience with CI/CD tools and practices for ML model deployment.
• Ability to thrive in a hybrid work environment in Mahikeng .

Benefits

• Highly competitive salary and performance bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and retirement savings plan.
• Opportunities for continuous learning and professional development.
• A collaborative and innovative team culture focused on AI advancements.