Principal ML Engineer - Hybrid: Lead & Scale AI Solutions

Placements24; Pretoria; Hybrid; ZAR 1.800.000 - 3.000.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Competitive compensation

Health and wellness benefits

Career development opportunities

Zusammenfassung

Placements24 is seeking a Principal Machine Learning Engineer for our client in Pretoria, offering a hybrid work model. You will architect, develop, and deploy scalable ML solutions that deliver business value, while providing technical leadership and mentorship to a team of ML engineers and data scientists.

You will drive ML strategy across key projects, stay ahead of industry trends, optimize model performance, and collaborate with product, engineering, and business stakeholders to translate

Qualifikationen

• Ph.D. or Master's degree in a quantitative field.
• 8+ years of experience delivering production ML systems.
• Proficient in Python and ML libraries (TensorFlow, PyTorch).
• Experience with big data (Spark/Hadoop) and cloud platforms (AWS/Azure/GCP).
• Strong leadership and mentoring abilities.

Aufgaben

• Lead the design and deployment of sophisticated ML models and systems.
• Architect end-to-end ML pipelines from data to deployment.
• Provide technical leadership and mentor ML engineers and data scientists.
• Identify opportunities to leverage ML to solve business challenges.
• Develop production-grade ML codebases with scalable, robust solutions.
• Collaborate with product, engineering, and business stakeholders.
• Stay updated with ML research and industry trends.
• Optimize model performance and operationalize ML systems.
• Contribute to ML best practices and standards.

Kenntnisse

Leadership

Mentoring

Communication

Python

Problem solving

Ausbildung

Ph.D./MSc in a quantitative field

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

ML Ops CI/CD

Jobbeschreibung

Placements24 is seeking a Principal Machine Learning Engineer for our client in Pretoria, offering a hybrid work model. You will architect, develop, and deploy scalable ML solutions that deliver business value, while providing technical leadership and mentorship to a team of ML engineers and data scientists.

You will drive ML strategy across key projects, stay ahead of industry trends, optimize model performance, and collaborate with product, engineering, and business stakeholders to translate