SAP is looking for a Business AI Developer intern to work on improving existing and developing new AI Applications, specifically focusing on Generative AI lead applications using SAP Joule, to impact SAP Business Process and Partner Framework.
Requirements
- Experience with databases, data and deployment pipelines, continuous integration, continuous delivery, automation and devops tool chain – Jenkins, Docker, Ansible, GitHub
- Experience with developing web services and RESTful services
- Experience with various frontend and backend technologies: Python, Java, JavaScript, Node, React, Flask, SQL
- Experience using libraries such as pandas ,nltk , scikit learn and knowledge in statistics
- Experience with testing frameworks, test automation, Junit and integration testing
- Working knowledge of Agile/Scrum, Test Driven Development, performance testing or data correctness/integrity testing
- Experience with source control systems such as Git-Gerrit, GitHub
Responsibilities
- Develop application features and enhancements, write test automation scripts, perform unit testing, and troubleshoot bugs
- Quick at learning new development languages and keen on learning how SAP applications work
- Able to test and debug applications and solutions
- Experience with databases, data and deployment pipelines, continuous integration, continuous delivery, automation and devops tool chain – Jenkins, Docker, Ansible, GitHub
- Experience with developing web services and RESTful services
- Experience with various frontend and backend technologies: Python, Java, JavaScript, Node, React, Flask, SQL
- Experience with testing frameworks, test automation, Junit and integration testing
Other
- We’re looking for someone who takes initiative, perseveres, and stays curious.
- You like to work on meaningful innovative projects and are energized by lifelong learning.
- Strong will to pursue a problem, identify the source, and propose possible solutions in collaboration with other team members
- Self-motivated and has the desire to learn new technologies, plus share the learnings
- Adaptable to new processes, tools, and working environment
