Job Description

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 Master's 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)

Skills Required