Senior AI Engineer - Predictive Modeling

Our client, a leader in data-driven innovation, is seeking a highly skilled Senior AI Engineer specializing in Predictive Modeling . This key role is based in Nelspruit, Mpumalanga , and will involve developing and deploying sophisticated AI models to forecast future trends, identify patterns, and optimize business outcomes. You will leverage your expertise in machine learning algorithms, statistical analysis, and data engineering to build robust predictive solutions for a variety of applications.

The ideal candidate will have a strong quantitative background, excellent programming skills, and a proven ability to deliver impactful predictive models in a production environment. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and business analysts, to translate complex data into actionable insights. Our client fosters a dynamic and forward-thinking environment, encouraging continuous learning and innovation, providing the perfect platform to advance your career in AI and make a significant impact.

• Design, develop, and implement advanced predictive models using machine learning and statistical techniques.
• Build and maintain data pipelines for training and deploying predictive models.
• Evaluate and validate model performance, ensuring accuracy and reliability.
• Optimize models for production deployment, considering scalability, latency, and resource utilization.
• Collaborate with stakeholders to understand business needs and translate them into predictive modeling projects.
• Stay current with the latest research and techniques in predictive analytics and machine learning.
• Develop strategies for A/B testing and monitoring of deployed models.
• Contribute to the architecture and design of the AI platform.
• Document methodologies, findings, and deployed solutions.

• Master's or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience in developing and deploying predictive models in a production setting.
• Deep understanding of various machine learning algorithms for regression, classification, and time-series forecasting.
• Proficiency in Python and relevant libraries (e.g., Scikit-learn, Tensor Flow, PyTorch, Pandas).
• Experience with big data technologies and cloud platforms (e.g., Spark, AWS, Azure, GCP).
• Strong statistical analysis and data visualization skills.
• Excellent problem-solving and analytical capabilities.
• Strong communication and collaboration skills.
• Experience with MLOps practices is a plus.

• Competitive salary and performance bonus.
• Comprehensive medical, dental, and vision coverage.
• Generous paid time off and holidays.
• Opportunities for professional development and training.
• Access to cutting-edge technologies and challenging projects.
• A collaborative and innovative work environment.
• The chance to work on impactful predictive AI solutions.
• Career advancement opportunities in a growing field.