Senior ML Engineer: Build & Scale AI Models | Equity

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary with performancebon

Health, dental, and vision insurance

Generous paid time off

Professional development

Cutting-edge AI research environment

Job summary

Placements24 in Stellenbosch seeks a seasoned Senior Machine Learning Engineer to design, develop and deploy advanced ML models and systems. You will drive end-to-end ML projects, collaborating with data scientists, software engineers and product managers to deliver scalable AI solutions.

Candidates should hold a Master’s or PhD in a quantitative field, 5+ years of ML experience, strong Python skills, and hands-on experience with TensorFlow, PyTorch and cloud pipelines.

Qualifications

• Master's degree or PhD in a quantitative field.
• 5+ years of professional experience in ML engineering.
• Strong programming in Python and ML libraries.
• Experience with cloud platforms and containers.
• Excellent problem-solving and communication skills.

Responsibilities

• Build, train, and deploy ML models and algorithms.
• Develop and maintain data pipelines for ML model development and training.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
• Implement MLOps best practices for CI/CD and monitoring of ML systems.
• Contribute to the selection of appropriate ML technologies and tools.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Cloud platforms (AWS/Azure/GCP)

Docker & Kubernetes

Data preprocessing

Strong communication

Problem-solving

Education

Master's degree in Computer Science, Engineering, Statistics, or related field

PhD in related field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Placements24 in Stellenbosch seeks a seasoned Senior Machine Learning Engineer to design, develop and deploy advanced ML models and systems. You will drive end-to-end ML projects, collaborating with data scientists, software engineers and product managers to deliver scalable AI solutions.

Candidates should hold a Master’s or PhD in a quantitative field, 5+ years of ML experience, strong Python skills, and hands-on experience with TensorFlow, PyTorch and cloud pipelines.