Senior AI Engineer - Machine Learning Operations (MLOps)

Placements24; Soweto; Híbrido; ZAR 1 000 000 - 1 800 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical aid

Retirement fund

Professional development opportunities

Fully remote work

Resumo da oferta

Placements24, a dynamic AI-focused company, seeks a Senior AI Engineer specializing in MLOps to build and maintain scalable ML systems. This fully remote role allows you to contribute from anywhere, with operations near Soweto, Gauteng.

You will design end-to-end ML pipelines, implement CI/CD for ML workloads, manage model versioning, and collaborate with data scientists to productionize models while ensuring security and reliability across cloud platforms.

Qualificações

• 6+ years in software engineering or DevOps with a focus on MLOps.
• Experience deploying ML models to production on cloud platforms.
• Proficient in Python and scripting languages.
• Hands-on with AWS SageMaker, Azure ML, GCP.
• Familiar with Docker and Kubernetes.
• Knowledge of CI/CD tools (Jenkins, GitLab CI, GitHub Actions).

Responsabilidades

• Design and manage end-to-end MLOps pipelines for training, testing, deployment, and monitoring.
• Develop CI/CD infrastructure for ML workflows.
• Implement model versioning, experiment tracking, and reproducibility.
• Set up infrastructure for training and serving ML models on cloud platforms.
• Monitor production models and retraining strategies.
• Collaborate with data scientists to optimize models for production.
• Develop logging, alerting, and reporting for ML systems.
• Automate data pipelines and feature stores for ML development.
• Ensure security, scalability, and reliability of ML infrastructure.
• Stay current with MLOps best practices and document processes for the team in Soweto.

Conhecimentos

MLOps

Python

Cloud platforms

Docker & Kubernetes

CI/CD

Formação académica

Bachelor's/Master's in CS/Engineering

Ferramentas

MLflow

Kubeflow

DVC

GitHub Actions

Descrição da oferta de emprego

About the Role

Our client, a rapidly growing AI-focused company, is seeking a skilled Senior AI Engineer with expertise in Machine Learning Operations (MLOps) to build, deploy, and maintain scalable AI/ML systems. This role is critical for bridging the gap between model development and production deployment, ensuring robust, reliable, and efficient ML pipelines. You will work closely with data scientists and software engineers to automate and streamline the ML lifecycle. The position is fully remote, allowing talented individuals to contribute from anywhere, although the company has operations near Soweto, Gauteng . Join us in operationalizing the future of AI.

Key Responsibilities

• Design, implement, and manage end-to-end MLOps pipelines for automated model training, testing, deployment, and monitoring.
• Develop and maintain CI/CD infrastructure specifically for machine learning workflows.
• Implement tools and practices for model versioning, experiment tracking, and reproducibility.
• Set up and manage infrastructure for training and serving ML models, leveraging cloud platforms (AWS, Azure, GCP).
• Monitor ML model performance in production, identify drift, and implement retraining strategies.
• Collaborate with data scientists to optimize models for production deployment and scalability.
• Develop robust logging, alerting, and reporting mechanisms for ML systems.
• Automate data pipelines and feature stores to support ML model development and deployment.
• Ensure the security, scalability, and reliability of ML infrastructure.
• Stay current with MLOps best practices, tools, and emerging technologies.
• Document MLOps processes, infrastructure, and best practices for the team in Soweto.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Significant experience (6+ years) in software engineering or DevOps, with a strong focus on MLOps and deploying machine learning models into production.
• Hands‑on experience with cloud platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform) and containerization technologies (Docker, Kubernetes).
• Proficiency in Python and scripting languages.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow, DVC).
• Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Knowledge of data engineering concepts and database technologies.
• Experience with monitoring tools and performance optimization of ML systems.
• Strong problem‑solving and analytical skills.
• Excellent communication and collaboration abilities, essential for a remote role.
• Familiarity with the broader AI/ML landscape and development cycles in Soweto, Gauteng .

Benefits

Our client offers a competitive salary, performance-based bonuses, and a comprehensive benefits package including medical aid, retirement fund, and professional development opportunities. We provide a fully remote work environment with the necessary tools and support for success. Employees benefit from a culture of innovation, continuous learning, and collaboration. Challenging projects focused on the cutting edge of AI await you. We value work-life balance and offer generous paid time off. Opportunities to shape key operational processes are significant.