MLOps Engineer - Scalable AI Systems

Placements24; Polokwane; Hybrid; ZAR 540,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Comprehensive health, dental, and view

Retirement savings plan

Hybrid work model in Polokwane

Job summary

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.

Qualifications

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

Responsibilities

• 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.

Skills

Python

Shell scripting

Education

Bachelor's degree in Computer Science / Engineering

Tools

Docker

Kubernetes

MLflow

Kubeflow

Job description

About the Role

Our client is seeking a proficient MLOps Engineer to enhance their AI and Emerging Technologies capabilities in Polokwane . You will be responsible for bridging the gap between machine learning model development and deployment, ensuring robust, scalable, and automated ML pipelines. Your expertise will be critical in streamlining the ML lifecycle, from experimentation to production monitoring and maintenance. This role offers a chance to work with cutting-edge technologies and contribute to the operational excellence of AI systems in a rapidly growing sector within Limpopo .

Key Responsibilities

• Build, automate, and maintain CI/CD pipelines for machine learning models.
• Implement and manage infrastructure for training, deploying, and monitoring ML models in production environments.
• Collaborate closely with data scientists and software engineers to optimize model performance and deployment strategies.
• Develop tools and frameworks for experiment tracking, model versioning, and reproducibility.
• Monitor ML systems for performance, reliability, and scalability, implementing necessary improvements.
• Ensure the security and compliance of ML operations and infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 2+ years of experience in MLOps, DevOps, or software engineering with a focus on ML systems.
• Proficiency in scripting languages such as Python and shell scripting.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow).

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision benefits.
• Retirement savings plan.
• Opportunities for professional development and attending industry conferences.
• Hybrid work model in Polokwane , offering a balance between office collaboration and remote work.