Senior Machine Learning Ops (MLOps) Engineer

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Comprehensive health insurance

Professional development and certific-"

Exposure to cutting-edge AI and cloud

Retirement savings plan

Generous paid time off

Regular company events

Job summary

Placements24 is seeking an experienced Senior MLOps Engineer to join our client’s team in Sandton, Gauteng. You will build, deploy, and manage scalable ML systems, bridging ML development and operations, and ensuring production reliability in a hybrid work setup.

Key responsibilities include designing robust CI/CD pipelines, managing training and deployment infrastructure, automating retraining and deployment, and monitoring model performance and data drift.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3–5 years of experience in DevOps or MLOps, focusing on ML systems.
• Proficiency in Python and containerization (Docker, Kubernetes).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and ML services.
• Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Familiarity with infrastructure-as-code tools (Terraform, Ansible).
• Knowledge of ML principles and ML lifecycle.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work well in a collaborative team environment.
• Eligible to work in South Africa; relocation to Sandton, Gauteng if needed.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models.
• Develop and manage infrastructure for training, deployment, and monitoring in production.
• Automate model retraining, versioning, and deployment processes.
• Implement monitoring for model performance, data drift, and system health.
• Collaborate with data scientists and software engineers for seamless integration.
• Manage cloud-based ML infrastructure (AWS, Azure, GCP).
• Apply MLOps best practices including testing and reproducibility.
• Troubleshoot production issues in ML systems.
• Develop tools to streamline the ML lifecycle.
• Stay updated on emerging MLOps tools and practices.

Skills

Python scripting

Analytical thinking

Communication

Team collaboration

Problem solving

ML lifecycle knowledge

Automation mindset

Education

Bachelor’s or Master’s in Computer Science or Engineering

Tools

Python

Docker

Kubernetes

Terraform

Ansible

Jenkins

GitHub Actions

GitLab CI

Job description

About the Role

Our client, a leader in AI & Emerging Technologies, is seeking an experienced Senior Machine Learning Ops (MLOps) Engineer to join their team in Sandton, Gauteng . This critical role focuses on building, deploying, and managing robust and scalable machine learning systems. You will be responsible for bridging the gap between machine learning development and operations, ensuring the efficient and reliable performance of ML models in production environments. Our client is dedicated to fostering a culture of continuous improvement and operational excellence in AI. This is a unique opportunity to work with cutting-edge technologies and contribute to the operational maturity of our client's AI initiatives. If you are passionate about automating ML workflows, streamlining deployment, and ensuring the reliability of AI systems, this role in Sandton, Gauteng is an excellent career step. Join us to elevate the operational efficiency of AI.

Key Responsibilities

• Design, implement, and maintain robust CI/CD pipelines for machine learning models.
• Develop and manage infrastructure for training, deploying, and monitoring ML models in production.
• Automate model retraining, versioning, and deployment processes.
• Implement monitoring solutions to track model performance, data drift, and system health.
• Collaborate with data scientists and software engineers to ensure smooth integration and deployment of ML models.
• Manage and optimize cloud-based ML infrastructure (e.g., AWS SageMaker, Azure ML, GCP AI Platform).
• Implement best practices for MLOps, including testing, validation, and reproducibility.
• Troubleshoot and resolve production issues related to ML systems.
• Develop tools and frameworks to streamline the ML lifecycle.
• Stay updated on emerging MLOps tools, technologies, and best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in DevOps or MLOps, with a strong focus on machine learning systems.
• Proficiency in scripting languages like Python and experience with containerization technologies (Docker, Kubernetes).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible).
• Knowledge of machine learning principles and the ML lifecycle.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a collaborative team environment.
• Must be eligible to work in South Africa and reside in or be willing to relocate to the Sandton, Gauteng area.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health insurance and wellness programs.
• Hybrid work model offering flexibility and work-life balance.
• Opportunities for professional development and certifications.
• Exposure to cutting-edge AI and cloud technologies.
• Collaborative and innovative work culture.
• Contribution to high-impact AI projects.
• Retirement savings plan.
• Generous paid time off.
• Regular company social events and team-building activities.