Cape Town: Senior Machine Learning Engineer posted by Sabenza IT & Recruitment

The Senior Machine Learning Engineer is responsible for designing, developing, and deploying advanced machine learning solutions that drive business impact. This role requires deep technical expertise, strong problem-solving skills, and the ability to lead complex projects from conception through to production. The incumbent will play a key role in shaping the organisations ML strategy, mentoring junior engineers, and ensuring scalable, efficient, and ethical use of AI technologies.

Key Responsibilities:

• Design and implement advanced machine learning models and systems to solve complex business challenges.
  
• Lead the end-to-end lifecycle of ML projects, including data preparation, model training, validation, deployment, and ongoing monitoring.
  
• Optimise existing ML models and pipelines for scalability, efficiency, and performance in production environments.
  
• Partner with data engineers, software developers, and business stakeholders to integrate ML solutions seamlessly into existing systems and workflows.
  
• Provide mentorship, guidance, and technical leadership to mid-level and junior ML engineers to ensure knowledge sharing and adherence to best practices.
  
• Develop, maintain, and enforce standards for model governance, documentation, versioning, and reproducibility.
  
• Stay abreast of emerging trends, tools, and technologies in machine learning, MLOps, and AI ethics to continually improve solutions and frameworks.

Requirements

• NQF Level 6 or higher tertiary qualification in an ICT-related field (e.g., Computer Science, Information Systems, Data Science, or related discipline).
  
• Cloud certification (e.g., AWS, Azure, or GCP) preferred.
  
•  Minimum of 5 years experience in a Machine Learning Engineer or similar role.
  
• Proven track record of designing, developing, and deploying ML models in production environments.
  
• Experience with modern ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  
• Solid understanding of data engineering, model lifecycle management, and MLOps practices.