Cape Town City Centre: Senior AI Engineer

Key Responsibilities: AI Production and Scaling: Design, develop, and deploy scalable AI/ML systems and pipelines using cloud infrastructure (AWS, Google Cloud, Azure) Build and maintain production-grade machine learning models for content recommendation, personalization, and newsroom automation Implement MLOps practices, including model versioning, automated testing, monitoring, and continuous deployment Optimize AI model performance, latency, and resource utilization for high-traffic production environments Personalization and Content Intelligence: Develop and enhance personalization algorithms that deliver relevant content experiences across web, mobile, and emerging platforms Build content classification, semantic analysis, and recommendation systems using NLP and deep learning techniques Implement real-time content processing pipelines for automated tagging, categorization, and content matching Create user profiling and behavioral analysis systems to improve content targeting and engagement Newsroom AI and Editorial Tools: Collaborate with editorial teams to develop AI-powered tools that accelerate content creation and curation Build automated content workflows including article summarization, fact-checking assistance, and content optimization Implement AI solutions for news aggregation, content deduplication, and trend analysis Develop tools for automated social media content generation and distribution optimization Technical Excellence and Innovation: Write clean, maintainable, and well-documented Python code following software engineering best practices Design and implement APIs and microservices for AI model serving and integration Conduct experiments with cutting-edge AI technologies, including large language models (LLMs), transformer architectures, and generative AI Stay current with AI/ML research and evaluate new technologies for potential Required Skills and Experience: Technical Qualifications: Honours or Masters degree in Computer Science, Machine Learning, Data Science, or related technical field Minimum 5 years of software engineering experience with at least 3 years focused on AI/ML development Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Hands-on experience with cloud platforms (AWS SageMaker, Google AI Platform, Azure ML) and containerization (Docker, Kubernetes) Proven experience building and deploying production ML systems at scale Preferred Experience: Experience in media, publishing, or content-driven industries Knowledge of content management systems and editorial workflows Understanding of web analytics, user behavior analysis, and A/B testing methodologies Experience with real-time streaming data processing (Kafka, Kinesis, Pub/Sub) Familiarity with monitoring and observability tools (Prometheus, Grafana, DataDog)