MLOps Engineer - AI Infrastructure

Placements24; Klerksdorp; Presencial; ZAR 600 000 - 900 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical aid

Life insurance

Retirement fund contributions

Training & certifications

Resumo da oferta

Placements24 in Klerksdorp, North West is seeking an experienced MLOps Engineer to establish and manage ML infrastructure on-site. You will design CI/CD pipelines, automate ML workflows, and ensure scalable, reliable AI systems.

Collaboration with data scientists and engineers is essential for lifecycle management and deployment strategies. The role emphasizes automation, monitoring, and cost-efficient ML infrastructure, with opportunities to advance in a cutting-edge AI environment.

Qualificações

• Bachelor's degree in CS, Engineering or related field.
• Proven experience in DevOps or MLOps engineering.
• Experience with ML lifecycle and frameworks (TensorFlow, PyTorch).
• Strong scripting (Python, Bash) and IaC (Terraform, Ansible).

Responsabilidades

• Design, build, and maintain CI/CD pipelines for ML models.
• Automate training, testing, deployment of ML models.
• Monitor model performance and infrastructure health.
• Manage ML inference infrastructure and serving.
• Collaborate with data scientists and engineers on model lifecycle.
• Optimize infrastructure for performance and cost.
• Document MLOps processes and tools.

Conhecimentos

DevOps

MLOps

CI/CD

Python

Docker

Kubernetes

TensorFlow

PyTorch

Terraform

Ansible

Formação académica

Bachelor's degree in Computer Science or related

Ferramentas

GitHub Actions

Jenkins

GitLab CI

Terraform

Docker

Kubernetes

Descrição da oferta de emprego

About the Role

Our client is a leading innovator in the AI space and is seeking an experienced MLOps Engineer to establish and manage their machine learning infrastructure. This critical role, based in Klerksdorp, North West , will focus on streamlining the deployment, monitoring, and management of machine learning models in production environments. You will be responsible for building robust CI/CD pipelines, automating ML workflows, and ensuring the scalability and reliability of our AI systems. This is an excellent opportunity to work at the intersection of machine learning and DevOps, contributing directly to the operational success of our cutting‑edge AI products. The ideal candidate will have a strong background in both software engineering and machine learning operations, with a passion for automation and efficiency.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.
• Automate the training, testing, and deployment of ML models.
• Implement and manage monitoring solutions for model performance and infrastructure health.
• Develop and maintain infrastructure for ML model serving and inference.
• Collaborate with data scientists and engineers to ensure smooth model lifecycle management.
• Optimize ML infrastructure for performance, scalability, and cost-efficiency.
• Implement best practices for MLOps, including version control, testing, and security.
• Troubleshoot and resolve issues related to ML deployment and production systems.
• Manage cloud infrastructure and resources related to ML workloads.
• Document MLOps processes, tools, and infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in DevOps or MLOps engineering.
• Strong understanding of the machine learning lifecycle and common ML frameworks (e.g., TensorFlow, PyTorch).
• Proficiency with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Knowledge of containerization technologies (Docker, Kubernetes).
• Strong scripting skills (e.g., Python, Bash).Familiarity with infrastructure as code tools (e.g., Terraform, Ansible).
• Excellent problem-solving and troubleshooting abilities.
• Strong communication and collaboration skills.
• This role requires you to work on-site in Klerksdorp, North West .

Benefits

Our client offers a competitive salary, commensurate with your expertise and experience.

• Medical aid.
• Life insurance.
• Retirement fund contributions.
• We provide ample opportunities for professional development, including access to training, workshops, and certifications.
• You’ll be part of an innovative team working on exciting AI projects.
• The position is based in Klerksdorp, North West , providing a stable and growing work environment.