Machine Learning Engineer - Recommender Systems

Our client, a dynamic company at the forefront of AI & Emerging Technologies, is seeking a skilled Machine Learning Engineer specializing in Recommender Systems to join their team in Benoni, Gauteng . This hybrid role focuses on designing, developing, and deploying sophisticated recommendation engines that enhance user experience and drive business growth. You will work with large datasets, cutting-edge ML algorithms, and scalable infrastructure to deliver personalized content and product suggestions.

This is an exciting opportunity to make a significant impact in a fast-paced environment. You will collaborate closely with product managers, data scientists, and other engineers to bring innovative recommendation features to life. The ideal candidate possesses a strong foundation in machine learning, software engineering best practices, and a passion for data-driven product development. Your expertise will be key in optimizing user engagement and driving key business metrics through intelligent recommendation strategies.

We value creativity and a hands‑on approach to problem-solving.

• Develop, implement, and deploy machine learning models for recommender systems.
• Design and build scalable data pipelines for collecting, processing, and transforming user interaction data.
• Experiment with various recommendation algorithms (e.g., collaborative filtering, content-based filtering, hybrid approaches).
• Evaluate model performance using appropriate metrics and A/B testing methodologies.
• Collaborate with product teams to define requirements and integrate recommendation features.
• Optimize models for real-time prediction and low latency.
• Stay current with the latest research and industry trends in recommender systems and personalization.
• Contribute to the development of the ML platform and infrastructure.
• Write clean, maintainable, and efficient code.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field.
• Proven experience building and deploying recommender systems or similar ML models.
• Proficiency in Python and ML libraries such as scikit-learn, Tensor Flow, or PyTorch.
• Strong understanding of recommendation algorithms and evaluation metrics.
• Experience with data processing frameworks (e.g., Spark) and SQL.
• Familiarity with cloud environments (AWS, Azure, GCP) is a plus.
• Excellent problem-solving and analytical skills.
  
  Strong communication and collaboration abilities.
• Ability to thrive in a hybrid work setting.

• Our client offers a competitive salary, a comprehensive benefits package including medical aid, pension, and performance bonuses.
• They provide ample opportunities for professional growth and development, including access to training, conferences, and challenging projects.
• Employees enjoy a collaborative and innovative work culture.
• Work-life balance is prioritized, with generous paid time off.
• This is a hybrid role based in Benoni , offering a mix of remote and in-office work.