Machine Learning Operations (MLOps) Engineer

Placements24; Soweto; Híbrido; ZAR 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid role

Soweto based

Professional development opportunities

Retirement plan

Descripción de la vacante

Placements24 is seeking a skilled MLOps Engineer to join our Soweto, Gauteng team. You will bridge model development and production, building scalable pipelines, automating ML workflows, and enforcing CI/CD practices.

The role requires collaboration with data scientists and software engineers to deliver reliable ML systems. Ideal candidates have 3+ years in MLOps/DevOps, strong Python and Shell scripting skills, and hands-on experience with Docker, Kubernetes, and cloud ML services.

Formación

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 3+ years of experience in MLOps, DevOps, or a related role.
• Strong Python programming and shell scripting skills.
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.

Responsabilidades

• Design, build, and maintain scalable MLOps pipelines for automated model training, deployment, and monitoring.
• Implement CI/CD practices for machine learning models.
• Develop and manage infrastructure for ML model deployment, including Docker and Kubernetes.
• Monitor ML model performance in production and plan retraining strategies.
• Collaborate with data scientists and software engineers to streamline the ML lifecycle.
• Ensure reliability, scalability, and security of ML systems.
• Automate data validation, model testing, and deployment processes.
• Stay current with emerging MLOps tools and best practices.

Conocimientos

Python

Shell scripting

Problem solving

Communication

Educación

Bachelor's degree in Computer Science or Software Engineering

Herramientas

Docker

Kubernetes

Jenkins

GitLab CI

GitHub Actions

Terraform

Ansible

Descripción del empleo

About the Role

Our client, a significant innovator in AI & Emerging Technologies , is looking for a skilled Machine Learning Operations (MLOps) Engineer to join their team in Soweto, Gauteng . This role is crucial for bridging the gap between machine learning model development and production deployment, ensuring seamless integration, scalability, and reliability. You will be responsible for building and maintaining robust MLOps pipelines, automating ML workflows, and implementing best practices for CI/CD in ML. The ideal candidate has a strong background in both software engineering and machine learning operations. This is an exciting opportunity to contribute to cutting‑edge AI projects and shape the operational excellence of machine learning systems from our Soweto location. We promote a culture of continuous improvement and collaboration.

Key Responsibilities

• Design, build, and maintain scalable MLOps pipelines for automated model training, deployment, and monitoring.
• Implement CI/CD practices for machine learning models.
• Develop and manage infrastructure for ML model deployment, including containerization (Docker) and orchestration (Kubernetes).
• Monitor ML model performance in production and implement strategies for retraining and updating models.
• Collaborate closely with data scientists and software engineers to streamline the ML lifecycle.
• Ensure the reliability, scalability, and security of ML systems.
• Automate data validation, model testing, and deployment processes.
• Stay current with emerging MLOps tools, technologies, and best practices.
• Troubleshoot and resolve issues related to ML infrastructure and pipelines.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• Proven experience (3+ years) in MLOps, DevOps, or a related role focused on automating ML workflows.
• Strong programming skills in Python and experience with shell scripting.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proficiency with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts and workflows.
• Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible) is a plus.
• Excellent problem‑solving and debugging skills.
• Strong communication and teamwork abilities, essential for our Soweto, Gauteng team.

Benefits

Our client offers a competitive salary, comprehensive health and wellness benefits, retirement fund contributions, and performance incentives. Professional development opportunities, including specialized MLOps training and certifications, are provided. This hybrid role, based in Soweto , offers a blend of collaborative in-office work and remote flexibility. Join a team driving innovation in AI & Emerging Technologies and ensuring their reliable application.