Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization
Core
Designing and developing AI/ML science solutions to create innovative customer experiences for product discovery across categories like Healthcare, Groceries, and Amazon Haul.
Role type
Applied Scientist (AI/ML)
Builds
AI/ML models and systems for customer experience and product discovery
Domain
E-commerce, Personalization, Recommendation Systems
Deliverable
production ML models
Required skills
Computer vision, Generative AI, Recommendation systems, Ranking, NLP, Machine learning model development, Algorithm development, Java, C++, Python, Business problem analysis, Science plan design, End-to-end lifecycle ownership
Preferred skills
Unix/Linux, Professional software development
Technologies
Java, C++, Python
Responsibilities
Analyse complex business problems and translate them into science plans, Design and deliver ML/AI models from research to production, Work with state-of-the-art models in computer vision, ranking and generative AI, Own major science challenges driving solutions from ideation to production deployment, Collaborate with partner teams to deliver integrated solutions, Influence scientific direction and best practices, Contribute to expanding the state of the art through publications
Seniority
Senior, hands-on IC