Machine Learning Ops (MLOps) Engineer

Placements24; Polokwane; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Career advancement

Performance-based incentives

Modern facilities

Job summary

Placements24 seeks an experienced MLOps Engineer to join our Polokwane team on-site. You will design scalable ML pipelines, implement end-to-end CI/CD for models, and ensure monitoring, retraining, and secure deployment of AI solutions in production.

Collaborate with data scientists and software engineers to operationalize ML models, drive reliability, and optimize cloud infrastructure across AWS/Azure/GCP. The role offers growth in a fast-paced AI-focused environment in Limpopo.

Qualifications

• Bachelor's degree in CS/Engineering or related quantitative field.
• Proven experience in MLOps, DevOps or ML-focused software engineering.
• Strong Python programming skills and scripting ability.
• Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes).
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
• Understanding of ML lifecycle management and model monitoring.

Responsibilities

• Design and manage scalable ML pipelines for training, validation and deployment.
• Build and maintain CI/CD processes for ML models.
• Implement monitoring to detect drift and performance issues in production.
• Automate model retraining and deployment workflows.
• Collaborate with data scientists and software engineers to operationalize models.

Skills

Python programming

MLOps

DevOps

ML model deployment

Problem solving

Independent worker

Team collaboration

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Kubeflow

MLflow

Job description

About the Role

Our client, a fast-paced technology company specializing in AI solutions, is seeking an experienced Machine Learning Operations (MLOps) Engineer to join their team in Polokwane. This role requires an on-site presence to manage and streamline the machine learning lifecycle, ensuring the efficient deployment, monitoring, and maintenance of ML models in production. You will play a crucial role in bridging the gap between data science and operations, implementing robust MLOps practices to accelerate the delivery of AI-powered features. This is an exciting opportunity to contribute to impactful projects within the dynamic tech landscape of Polokwane.

Key Responsibilities

• Design, implement, and manage scalable ML pipelines for model training, validation, and deployment.
• Develop and maintain CI/CD processes for machine learning models.
• Implement tools and infrastructure for monitoring ML model performance and detecting drift.
• Automate model retraining and deployment processes.
• Collaborate with data scientists and software engineers to operationalize ML models.
• Ensure the reliability, scalability, and security of ML infrastructure.
• Manage and optimize cloud-based ML platforms and resources.
• Troubleshoot and resolve issues related to ML model deployment and performance in production environments.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• Proven experience in MLOps, DevOps, or software engineering with a focus on ML.
• Strong programming skills in Python.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and ML orchestration tools (e.g., Kubeflow, MLflow).
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts and model lifecycle management.
• Excellent problem-solving skills and ability to work independently and as part of a team.

Benefits

Our client offers a competitive salary, a comprehensive benefits package including health insurance and retirement contributions, and opportunities for career advancement. You will work with a talented team on exciting AI projects and have access to modern facilities in Polokwane. We provide a dynamic work environment, continuous learning opportunities, and performance-based incentives. Join us and play a key role in shaping the future of AI operations.

• competitive salary
• a comprehensive benefits package including health insurance and retirement contributions
• opportunities for career advancement
• dynamic work environment
• continuous learning opportunities
• performance-based incentives