Paulo Granja
@paulogranja
I build production AI platforms that grow e-commerce revenue and reduce costs.
What I'm looking for
At Jumia, Africa's largest e-commerce platform, I lead the AI/ML roadmap for millions of daily users across 11 countries. I architected and deployed an end-to-end AWS AI/ML platform supporting recommendation, dynamic pricing, search ranking, and demand forecasting.
I built a production recommendation engine that increased cross-sell revenue and average order value, along with pricing and search-ranking systems that improved conversion, competitiveness, relevance, and CTR. I also delivered demand forecasting models that reduced overstock and stockout costs across multiple markets.
I bring Generative AI into production through RAG-based support assistants and LLM-powered product-description generation, reducing operational costs. My MLOps work includes feature stores, model registries, automated retraining, A/B testing, Terraform, CI/CD, SageMaker, MLflow, Docker, and Airflow.
Previously, I led data science teams and optimization initiatives at ITIM and delivered predictive analytics, marketing models, forecasting, and Hadoop-based reporting at Sonae MC. I enjoy turning complex business problems into scalable AI solutions with measurable P&L impact while mentoring teams and aligning technical roadmaps with product and engineering leadership.
Experience
Work history, roles, and key accomplishments
Data Science Lead / Principal AI Engineer
Jumia
Jan 2022 - Present (4 years 7 months)
Architected and deployed end-to-end AI/ML platform on AWS for Africa's #1 e-commerce marketplace, serving millions of daily users across 11 countries. Built production recommendation engine, dynamic pricing optimization, search ranking system, and demand forecasting models, and implemented GenAI features including RAG-based support assistant and LLM-powered product description generation.
Education
Degrees, certifications, and relevant coursework
University of Porto – FEP
Master of Science, Data Analytics
2015 - 2017
Grade: 18/20
MSc in Data Analytics from the University of Porto – FEP, completed with a grade of 18/20.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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