Remote Senior ML Engineer: MLOps & Production Pipelines

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

Benefits offered by this job

Bonuses

Health insurance

Generous leave

Dev budget

Remote setup allowance

Flexible hours

Cutting-edge tech

Remote teams

Team events

Retirement plan

Job summary

Placements24 is seeking a Senior Remote Machine Learning Engineer with a strong MLOps focus to join a fully distributed team. You will design, build, and maintain scalable ML infrastructure and pipelines, ensuring production-ready deployments and robust monitoring.

This role offers flexible remote work from anywhere and a path to influence AI platforms across diverse projects. Ideal candidates hold a Master's or PhD in a quantitative field, 5+ years in software engineering with ML/MLOps, and

Qualifications

• Master's degree or Ph.D. in Computer Science, Software Engineering, or a related quantitative field.
• 5+ years of experience in software engineering, with at least 3 years focused on machine learning engineering and MLOps.
• Strong programming skills in Python and experience with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Proven experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Knowledge of infrastructure as code tools (e.g., Terraform, Ansible).
• Understanding of ML model development, evaluation, and deployment processes.

Responsibilities

• Design, build, and maintain scalable ML infrastructure and pipelines.
• Implement MLOps best practices for CI/CD/CT of ML models.
• Automate deployment, monitoring, and management of machine learning models in production.
• Collaborate with data scientists to optimize models for production environments.
• Develop tools and frameworks to support the ML lifecycle.
• Ensure the performance, scalability, and stability of ML systems.
• Troubleshoot and resolve issues related to ML model deployment and operation.
• Implement monitoring and alerting solutions for ML systems.
• Contribute to the design and architecture of new ML platforms and services.
• Stay current with emerging MLOps tools, technologies, and trends.

Skills

Python

CI/CD

ML lifecycle

Team collaboration

Education

Master's or PhD in CS/SE or related field

Tools

Docker

Kubernetes

Terraform

Ansible

Prometheus

Grafana

ELK Stack

Job description

Placements24 is seeking a Senior Remote Machine Learning Engineer with a strong MLOps focus to join a fully distributed team. You will design, build, and maintain scalable ML infrastructure and pipelines, ensuring production-ready deployments and robust monitoring.

This role offers flexible remote work from anywhere and a path to influence AI platforms across diverse projects. Ideal candidates hold a Master's or PhD in a quantitative field, 5+ years in software engineering with ML/MLOps, and