Stage en Data & Digital Transformation visant à soutenir le développement d’outils digitaux, assurer leur maintenance, promouvoir leur intégration, maintenir et améliorer les applications existantes, tester, déployer en production, rédiger la documentation et accompagner les métiers.
Responsibilities
Accompagner le développement du business en proposant des outils adaptés et en assurant leur bonne maintenance et évolutions
Promouvoir les outils digitaux et accompagner leur intégration dans les équipes SGI par la pratique du TDD et du BDD
Maintenir et améliorer les applications existantes
Tester, déployer en production et mettre à disposition les développements tout en accompagnant les métiers
Rédiger toute la documentation nécessaire aux développements effectués
Leading the planning and development of next-generation business operation platforms based on AI, focusing on automation and systemization using technologies like RPA, workflow systems, and data integration platforms.
Responsibilities
Lead the planning and development of next-generation business operation platforms assuming AI usage.
Lead automation and systemization to improve operational efficiency and quality.
Identify field issues structurally and drive DX using RPA, workflow systems, data integration platforms, and AI solutions.
Develop machine learning models for fraud detection (ATO), AML, and automated screening processes.
Build technical infrastructure for AI democratization and development using LLM, AI Agents, and NLP.
Lead the data and reporting team to design, build, and maintain scalable data architectures and pipelines for Citi’s Futures and Clearing business.
Responsibilities
Own a large-scale data warehouse; develop data products; lead architecture, design, development, and maintenance of scalable and secure data architectures
Identify, evaluate, and implement improvements to legacy systems
Provide strong leadership to engineering teams including mentoring, code review and enforcing best practices
Build automated data integration solutions and pipelines
Implement data governance and management frameworks
Requirements
Bachelor’s degree/University degree or equivalent experience in computer sciences, engineering, math/statistics
An internship role focused on developing AI applications, agents, and workflows using a mix of low-code platforms and traditional coding to solve real business problems.
Responsibilities
System operations and project coordination
Business requirement management and project progress tracking
Low-code application daily maintenance and continuous optimization
AI Application and Prototype development using Low-code and Coding methods
Designs, fabricates, modifies, evaluates and documents molded assemblies, components, and systems to produce or improve company products and facilitate manufacturing operations.
Responsibilities
Leads design and development of complex plastic molded sub-assemblies, components, and packaging
Leads development and implementation of changes to product design and/or the manufacturing process to achieve efficiency, quality, and/or cost improvements
Develops requirement specifications, system concepts, CAD generated machine layouts, detail drawings, BOM’s and budgets
Leads customer product design engineering for economic production and serves as technical interface with customers
Assesses proper material, tooling, automation and equipment selection
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or related field
Full-cycle recruiter responsible for end-to-end hiring across engineering, production, and commercial roles, partnering with executives and hiring managers in New York and Pittsburgh.
Responsibilities
Own multiple open roles at once, from co-ops and technical individual contributors to senior leaders and executives
Run kickoffs with hiring managers to define the role, must-haves, interview panel and timeline
Write and post job descriptions
Map target companies and talent for each search
Source passive candidates through LinkedIn, referrals and industry networks
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