MLOps Engineer: Deploy, Scale & Monitor AI Workloads

Placements24; Mossel Bay; Vor Ort; ZAR 900.000 - 1.300.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Medical, dental, vision coverage

Generous paid time off

Professional growth opportunities

Annual company retreats

Retirement fund contributions

Zusammenfassung

Placements24 seeks an AI/ML Operations Engineer in Mossel Bay to bridge model development and production deployment. You will build and automate infrastructure for scalable ML deployment, monitoring, and lifecycle management, collaborating with data scientists and ML engineers.

The ideal candidate has 4+ years in software/DevOps/MLOps, Python proficiency, and hands-on experience with MLflow, Kubeflow, and Seldon Core, plus cloud-container experience (EKS, AKS, GKE).

Qualifikationen

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• Minimum of 4 years of experience in software development, DevOps, or MLOps.
• Proven experience implementing MLOps best practices and tools (e.g., MLflow, Kubeflow, Seldon Core).
• Strong understanding of machine learning concepts and workflows.
• Proficiency in programming languages such as Python.

Aufgaben

• Design, implement, and manage CI/CD pipelines for machine learning models.
• Automate the deployment, scaling, and monitoring of ML models in production environments.
• Develop and maintain infrastructure for training, testing, and serving ML models.
• Implement tools and strategies for model versioning, lineage tracking, and reproducibility.
• Monitor model performance in production and establish alerting mechanisms for issues.
• Collaborate with data scientists and ML engineers to optimize model deployment workflows.
• Ensure the reliability, scalability, and security of the ML infrastructure.
• Manage containerization and orchestration platforms (e.g., Docker, Kubernetes) for ML workloads.
• Contribute to the selection and integration of MLOps tools and technologies.
• Troubleshoot and resolve operational issues related to ML systems.

Kenntnisse

Python programming

DevOps

MLOps

CI/CD

Kubernetes

Terraform

Monitoring

Scripting

Ausbildung

Bachelor's degree in CS/Software Engineering

Tools

MLflow

Kubeflow

Seldon Core

Docker

GitHub Actions

Jobbeschreibung

Placements24 seeks an AI/ML Operations Engineer in Mossel Bay to bridge model development and production deployment. You will build and automate infrastructure for scalable ML deployment, monitoring, and lifecycle management, collaborating with data scientists and ML engineers.

The ideal candidate has 4+ years in software/DevOps/MLOps, Python proficiency, and hands-on experience with MLflow, Kubeflow, and Seldon Core, plus cloud-container experience (EKS, AKS, GKE).