AI/ML Systems Engineer

Placements24; Soweto; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Retirement savings options

Training resources and conferences

Job summary

Placements24 is seeking an experienced AI/ML Systems Engineer to design, build, optimize, and deploy robust AI/ML systems in Soweto, Gauteng. You will collaborate with data scientists, software engineers, and researchers to ensure high-performance production environments and seamless integration with core products and services.

The role emphasizes building scalable pipelines, automating ML workflows, and applying MLOps best practices, including Docker and Kubernetes, across cloud platforms and

Qualifications

• 3+ years of experience in software engineering, systems engineering, or MLOps with focus on AI/ML systems.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.
• Strong understanding of containerization (Docker) and orchestration (Kubernetes).
• Familiarity with CI/CD practices and data pipelines/ETL processes.

Responsibilities

• Design, implement, and maintain scalable AI/ML infrastructure and pipelines.
• Optimize ML models for production performance and scalability.
• Develop tools for model training, evaluation, deployment, and monitoring.
• Collaborate with data scientists to productionize research models.
• Automate ML workflows including data preprocessing, feature engineering, and deployment.
• Implement MLOps best practices, CI/CD, and container orchestration.

Skills

Python

CI/CD

Teamwork

Problem solving

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

About the Role

Our client is an innovative technology company developing advanced AI solutions across various sectors. We are seeking an experienced AI/ML Systems Engineer to join our dynamic team. This role focuses on building, optimizing, and deploying robust and scalable AI/ML systems that power our core products and services. You will work closely with data scientists, software engineers, and researchers to ensure seamless integration and high performance of machine learning models in production environments. This is an exciting opportunity to contribute to cutting‑edge AI projects and drive technological advancements within the vibrant community of Soweto, Gauteng .

Key Responsibilities

• Design, implement, and maintain scalable AI/ML infrastructure and pipelines.
• Optimize machine learning models for performance, efficiency, and scalability in production environments.
• Develop and manage tools for model training, evaluation, deployment, and monitoring.
• Collaborate with data scientists to translate research models into production‑ready systems.
• Automate ML workflows, including data preprocessing, feature engineering, model training, and deployment.
• Implement best practices for MLOps, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
• Monitor the performance of deployed AI/ML systems and troubleshoot issues as they arise.
• Ensure the reliability, security, and efficiency of AI/ML infrastructure.
• Stay current with emerging AI/ML technologies and MLOps practices.
• Document system designs, processes, and best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in software engineering, systems engineering, or MLOps, with a focus on AI/ML systems.
• Proficiency in programming languages such as Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their associated AI/ML services.
• Strong understanding of containerization (Docker) and orchestration (Kubernetes) technologies.
• Familiarity with CI/CD tools and practices.
• Knowledge of data pipelines and ETL processes.
• Excellent problem‑solving skills and ability to work effectively in a team environment.
• Good communication and collaboration skills.
• Experience with machine learning model deployment and monitoring is a plus.

Benefits

Our client offers a competitive salary, performance-based incentives, and a comprehensive benefits package including health insurance and retirement savings options. We provide opportunities for continuous learning and professional development, including access to training resources and conferences. This role is based at our facility in Soweto, Gauteng , offering a dynamic work environment and opportunities for growth within our expanding AI division.