Senior AI Engineer - MLOps (Hybrid/Remote)

Placements24; Noord-Kaap; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Flexible hybrid work arrangement

Growth and certifications

Diverse AI projects exposure

Collaborative team in Kimberley

Paid time off

Job summary

Placements24 is hiring a Senior AI Engineer with MLOps expertise to build, deploy, and manage scalable ML systems. The role blends software engineering, cloud infrastructure, and MLOps best practices, with hybrid work in Kimberley and a focus on operational excellence of AI solutions.

You will lead the ML lifecycle from development to deployment and monitoring, collaborating with data scientists and engineers to deliver robust, secure models in production.

Qualifications

• Bachelor's or Master's in CS/Engineering or related field.
• 3+ years in software engineering or DevOps with a focus on MLOps.
• Proficiency in Python.
• Experience with cloud platforms and ML services.
• Familiarity with containers (Docker, Kubernetes).
• Experience with CI/CD tools (Jenkins, GitHub Actions).
• Understanding of ML concepts and workflows.
• Knowledge of ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong problem-solving and communication abilities.
• Hybrid work experience is beneficial.
• Must be eligible to work in South Africa.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines for ML models.
• Automate deployment, testing, and monitoring of ML models in production.
• Develop and manage infrastructure for ML model training, serving, and versioning.
• Collaborate with data scientists and software engineers to integrate models into apps.
• Implement CI/CD practices for ML workflows.
• Monitor model performance and drift; plan retraining when needed.
• Manage cloud infra for ML deployments (AWS/Azure/GCP).
• Ensure security, compliance, and governance of ML systems.
• Troubleshoot deployment and performance issues.
• Stay current with MLOps trends and tooling.

Skills

Python

CI/CD pipelines

Cloud platforms

Docker/Kubernetes

ML concepts

Scripting

Communication

Hybrid work

Work eligibility SA

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS SageMaker

Azure ML

GCP AI Platform

Docker

Kubernetes

Jenkins

GitHub Actions

Terraform

Job description

Placements24 is hiring a Senior AI Engineer with MLOps expertise to build, deploy, and manage scalable ML systems. The role blends software engineering, cloud infrastructure, and MLOps best practices, with hybrid work in Kimberley and a focus on operational excellence of AI solutions.

You will lead the ML lifecycle from development to deployment and monitoring, collaborating with data scientists and engineers to deliver robust, secure models in production.