Senior Machine Learning Engineer

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

About the Role

Our client is seeking a highly motivated and experienced Senior Machine Learning Engineer to join their dynamic AI team in Stellenbosch . You will play a key role in the design, development, and deployment of sophisticated machine learning models and systems that drive innovation and efficiency. This role offers the chance to work on challenging problems, leveraging state-of-the-art technologies to create impactful AI-driven solutions. You will collaborate closely with data scientists, software engineers, and product managers, contributing to the entire ML lifecycle from conception to production, within a culture that values continuous learning and technological advancement.

Key Responsibilities

• Build, train, and deploy machine learning models and algorithms using various ML frameworks.
• Develop and maintain robust data pipelines and infrastructure 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 continuous integration, delivery, and monitoring of ML systems.
• Contribute to the selection of appropriate ML technologies and tools.

Requirements

• Master's degree or PhD in Computer Science, Engineering, Statistics, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering or a related role.
• Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Solid understanding of ML algorithms, statistical modeling, and data preprocessing techniques.
• Excellent problem-solving abilities and strong communication skills.

Benefits

• Competitive salary with performance bonuses and potential for equity.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for professional development, including training and conference attendance.
• A stimulating work environment focused on cutting-edge AI research and development.