Senior Machine Learning Engineer - AI Platforms

Placements24; Bloemfontein; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

Stock options

Performance bonuses

Remote work flexibility

Professional development budget

Job summary

Placements24 is seeking a highly skilled Senior Machine Learning Engineer to contribute to cutting-edge AI Platforms. This remote role designs, builds, and deploys scalable ML systems that empower data scientists and researchers across a distributed, high-performing team.

You will work with cloud-based infrastructure, MLOps practices, and modern ML frameworks to productionize models, optimize performance, and stay abreast of AI advances.

Qualifications

• Master's or Ph.D. in Computer Science, ML, or related quantitative field.
• 5+ years of professional ML engineering experience.
• Strong Python and ML framework experience.
• Production experience with ML models and cloud platforms.

Responsibilities

• Develop, implement, and maintain scalable ML pipelines and services.
• Design and build robust ML infrastructure for training, deployment, and monitoring.
• Optimize models for performance and scalability.
• Collaborate with data scientists to productionize models.
• Apply MLOps best practices for automation and reproducibility.
• Stay current with AI/ML advancements and apply to the platform.

Skills

Python programming

ML engineering

Cloud thinking

Education

Master's or Ph.D. in CS/ML or related

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Job description

About the Role

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.

Key Responsibilities

• 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 productionize 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.

Requirements

• 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., TensorFlow, 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.

Benefits

• 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.