Lead Machine Learning Engineer - Predictive Analytics

Our client is seeking a highly skilled and experienced
** Lead Machine Learning Engineer
** to drive their initiatives in predictive analytics within the
** AI & Emerging Technologies
** sector. This exciting opportunity is based in Centurion, Gauteng , and requires the candidate to work predominantly from the office, fostering strong team collaboration. You will be responsible for designing, developing, and deploying robust machine learning models that solve complex business challenges. As a lead, you will mentor a team of engineers, guide technical strategy, and ensure the efficient operation of our ML systems.

This role is critical in advancing our predictive capabilities and delivering data-driven insights that enhance business performance. You will work closely with data scientists, product managers, and business stakeholders to translate insights into actionable strategies.

• Lead the design, development, and deployment of machine learning models for predictive analytics.
• Oversee the end-to-end ML lifecycle, including data preparation, feature engineering, model training, validation, and deployment.
• Mentor and guide a team of machine learning engineers, providing technical leadership and support.
• Collaborate with data scientists to translate research models into production-ready systems.
• Implement and maintain MLOps practices to ensure scalability, reliability, and efficiency of ML pipelines.
• Optimize model performance and infrastructure for production environments.
• Identify opportunities for leveraging new ML techniques and technologies to solve business problems.
• Contribute to the technical roadmap and strategy for machine learning at Our client.

• Master's or Ph.D. in Computer Science, Statistics, or a related quantitative field.
• Proven experience as a Machine Learning Engineer, with a strong focus on predictive modeling.
• Expertise in Python and common ML libraries (Scikit-learn, Tensor Flow, PyTorch).
• Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD for ML).
• Experience in leading technical teams and mentoring junior engineers.
• Strong problem-solving abilities and a proactive approach to challenges.
• Excellent communication and collaboration skills.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

• Competitive salary with performance-based incentives.
• Comprehensive health insurance coverage.
• Retirement savings plan.
• Paid annual leave and public holidays.
• Professional development and training opportunities.
• On-site parking and access to modern office facilities.
• Dynamic and collaborative team environment.