Senior Machine Learning Engineer - AI Platforms
Bloemfontein, 9300, South Africa
Listed on 2026-10-18
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Our client is seeking a highly skilled Senior Machine Learning Engineer to contribute to the development of their cutting-edge AI Platforms . This role, based remotely, involves designing, building, and deploying scalable machine learning systems and infrastructure that empower data scientists and researchers. You will tackle challenging problems in areas such as natural language processing, computer vision, and recommendation systems, ensuring the robustness and efficiency of our AI tools.
The ideal candidate is an expert in ML engineering best practices, with a deep understanding of cloud technologies and a passion for creating state-of-the‑art AI solutions that have a global impact, working collaboratively within a distributed, high-performing team.
- Develop, implement, and maintain scalable machine learning pipelines and services.
- Design and build robust ML infrastructure for training, deployment, and monitoring.
- Optimize ML models and algorithms for performance, efficiency, and scalability.
- Collaborate with data scientists to product ionize models and ensure seamless integration.
- Implement MLOps best practices for automation, versioning, and reproducibility.
- Stay current with advancements in AI/ML research and engineering and apply them to platform development.
- Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering.
- Strong programming skills in Python and experience with ML frameworks (e.g., Tensor Flow, PyTorch, scikit‑learn).
- Proven experience in building and deploying ML models in production environments.
- Expertise in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Solid understanding of data structures, algorithms, and software design principles.
- Highly competitive salary and comprehensive benefits package.
- Flexible remote working arrangements with a strong emphasis on work-life balance.
- Generous stock options and performance‑based bonuses.
- Budget for professional development, training, and conference attendance.
- Opportunity to work on groundbreaking AI technologies with a talented global team.
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