The mission of the Amazon Business EU Product team is to deliver exceptional value to EU business customers through solutions that allow them to use AB in a seamless way while adhering to a compliant Procure-to-pay process of their preference.
You will be part of a close-knit team of BI Engineers, Data Scientists, Product managers and stakeholders who are highly collaborative and at the top of their respective fields.
We are looking for talented AI Engineer who are adept at a variety of skills that enable deployment and productization of agentic AI models for automation at scale.
Every member of the team is expected to build customer-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team.
Key job responsibilities • Start with the customer and work backwards to define the set of features to address EU business customer needs for the owned charter. • Gather localized customer and regulatory requirements for MLP (Minimum Lovable Product) launches, and work with central tech teams to incorporate EU-specific customer needs. • Work closely with the technical product leaders to develop AI agents and transform the code into production.
- Own end to end deployment at scale of AI solutions.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Document processes and methods for technical and non technical audiences.
- Contribute to code reviews.
- Mentor and help recruit AI Engineer to the team.
- Present outcomes and explain approaches to senior leadership.
Basic Qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Hands on experiences with AI Agent development in real production. Should have at least 1 agent in prod.
Preferred Qualifications
- Bachelor's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience in Python, R programming and Selenium
- Experience programming with at least one software programming language, or experience (non-internship) in professional software development
- Experience working with or evaluating AI systems
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