Senior AI Engineer - MLOps

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Hybrid work model

Professional development opportunities

Job summary

Placements24 in Vereeniging is seeking a Senior AI Engineer focused on MLOps to join their team in a hybrid role. You will design, deploy, and monitor scalable ML pipelines in production, ensuring reliability and efficiency of AI applications.

You will collaborate with data scientists and software engineers, implement CI/CD, Infrastructure as Code, and cloud-based MLOps services, while staying current with new tools and best practices in the field.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years as a software or ML engineer with at least 3 years in MLOps.
• Strong understanding of ML concepts and workflows.
• Proficient in Python and containerization with Docker/Kubernetes.
• Experience with cloud ML services (AWS, Azure, GCP).
• Familiar with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions.
• Experience with IaC tools like Terraform or Ansible.

Responsibilities

• Design, implement, and manage robust MLOps pipelines for end-to-end model lifecycle.
• Develop and maintain infrastructure for model training, testing, deployment, and monitoring.
• Automate model deployment, retraining, and performance evaluation processes.
• Collaborate with data scientists and software engineers to integrate models into production.
• Implement CI/CD, version control for models and code, and configuration management.
• Monitor model performance, detect drift, and manage updates and recalibration.
• Troubleshoot deployment and operational issues in ML environments.
• Stay current with MLOps tools and best practices and advocate adoption.

Skills

Python

Docker

Kubernetes

Cloud ML services

SageMaker / Azure ML / Vertex AI

CI/CD tools

Jenkins

GitLab CI

GitHub Actions

Terraform

Ansible

Scripting

Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Jenkins

GitLab CI

GitHub Actions

Terraform

Ansible

Job description

About the Role

Our client is a leading innovator in the AI & Emerging Technologies space and is seeking a Senior AI Engineer with a strong focus on MLOps to join their team in Vereeniging, Gauteng. This hybrid role is crucial for streamlining the deployment, monitoring, and maintenance of machine learning models in production environments. You will be instrumental in building robust and scalable MLOps pipelines, ensuring the reliability and efficiency of our client's AI-powered applications. This is an exciting opportunity to apply your expertise in Vereeniging and contribute to the operational excellence of cutting-edge AI systems.

Key Responsibilities

• Design, implement, and manage robust MLOps pipelines for the end-to-end lifecycle of machine learning models.
• Develop and maintain infrastructure for model training, testing, deployment, and monitoring.
• Automate model deployment, retraining, and performance evaluation processes.
• Collaborate with data scientists and software engineers to ensure seamless integration of models into production systems.
• Implement best practices for CI/CD, version control (models and code), and configuration management for ML projects.
• Monitor model performance, identify drift, and implement strategies for model updates and re-calibration.
• Troubleshoot and resolve issues related to ML model deployment and operational performance.
• Stay current with MLOps tools, technologies, and best practices, and advocate for their adoption.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Proven experience (5+ years) as a software engineer or ML engineer, with at least 3 years focused on MLOps.
• Strong understanding of machine learning concepts and workflows.
• Proficiency in programming languages like Python and experience with containerization technologies (Docker, Kubernetes).
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and their MLOps services (e.g., SageMaker, Azure ML, Vertex AI).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Experience with infrastructure as code tools (e.g., Terraform, Ansible) is a plus.
• Excellent problem‑solving, analytical, and scripting skills.
• Strong communication and collaboration abilities within a hybrid team setting.

Benefits

• Our client offers a competitive salary, comprehensive health benefits, and retirement savings plans.
• The hybrid work model promotes a healthy work‑life balance.
• You will work on exciting projects at the forefront of AI and MLOps in Vereeniging.
• Opportunities for professional development, including training and certifications, are provided.
• Our client fosters a collaborative and innovative work environment, valuing employee growth and contributions.