Amazon Business EU Sarl
Business Intelligence, Business Intel Engineer, amazon business
AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineer at Amazon Business EU Sarl. Skills: AI Agent development, Machine learning, Data analysis. Start with the customer. Work backwards to define features”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Analyzing and interpreting data with Redshift, Oracle, NoSQL, Data visualization using Tableau, Quicksight, or similar tools, Industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI), Statistical methods (e.g. t-test, Chi-squared), Scripting language (e.g. Python, Java, or R), SQL, Data space experience, Building and maintaining basic data artifacts (e.g. ETL, data models, queries), AI Agent development in real production, At least 1 agent in prod
Nice to Have
Bachelor's degree or Advanced technical degree, Data modeling and data pipeline design, Statistical analysis, co-relation analysis, Python, R programming and Selenium, Programming with at least one software programming language, Professional software development experience
What You'll Do.
Start with the customer
Work backwards to define features
Gather localized customer requirements
Gather regulatory requirements
Work with central tech teams
Transform code into production
Own end to end deployment
Establish scalable processes
Establish efficient processes
Establish automated processes
Large-scale data analysis
Machine-learning model development
Contribute to code reviews
Help recruit AI Engineers
How You'll Work.
Team & Collaboration
Close-knit team; Highly collaborative team
Communication Scope
Technical documentation; Executive presentations
Full Job Description
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, P
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