AI Engineer

• Own the strategic direction of complex Paid Search setups and international client accounts
• Develop and evolve cross-channel Paid Search and full-funnel strategies
• Lead and prioritize operational initiatives with a clear focus on impact, scalability, and sustainability
• Establish and continuously improve a strong testing and learning culture within Paid Search – including clear hypotheses, structured testing, and systematic derivation of insights
• Ensure that new ideas, formats, and platform features are continuously evaluated, tested, and refined
• Provide strategic consulting at eye level – including close collaboration and sparring with clients and internal stakeholders
• Take functional leadership of the entire international SEA / Paid Search team: methodologies, standards, quality, and development
• Enable, mentor, and support team members in their day-to-day operational work
• Lead pitches, client presentations, and internal knowledge-sharing formats

Lead Paid Search, AI Advertising – German and English Speaking

Machine Learning Engineer

• Build, train, and deploy advanced machine learning models, including regression, classification, clustering, and recommendation algorithms
• Implement NLP, deep learning, and computer vision solutions as required to support customer-centric applications and predictive analytics
• Apply knowledge of large language models (LLMs) to develop conversational AI and recommendation systems for customer engagement
• Design end-to-end ML/AI pipelines that support the continuous integration and deployment of machine learning models into production environments
• Leverage MLOps best practices for model versioning, retraining, performance monitoring, and scalability
• Ensure models are optimized for latency, accuracy, and scalability by deploying on cloud platforms such as AWS, GCP, or Azure
• Collaborate with data engineering teams to design and optimize ETL/ELT pipelines for AI-specific data needs
• Engineer and preprocess large, complex datasets from various sources to ensure model robustness, accuracy, and generalizability
• Perform predictive analytics to support business strategies, creating foresight-driven models that enhance customer experiences and drive revenue growth
• Partner with business stakeholders to identify areas where ML/AI can drive value and translate these into actionable AI projects
• Document processes, code, and models for knowledge sharing and team scalability

Machine Learning Engineer jobs in South Africa

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Lead Paid Search, AI Advertising – German and English Speaking

Senior Machine Learning Engineer