Administration

Machine Learning Developer Intern

 We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

About the SAP Internship Experience Program

 

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose, learning and exposure in their careers.

Three reasons to intern at SAP

 

1. Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.

2. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.

3. Gain visibility: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.

 

What you’ll do

 

Position title: SAP Intern – Machine Learning Developer

Location: Singapore

Expected Start Date: January 2025

Contract Duration: 6- 9 Months

Work Hours: 40 hours per week

 

Project Objective

The purpose of this Internship is to build repeatable demo assets using Generative AI to extend capabilities of SAP Cloud solutions like S/4HANA and SuccessFactors. You will use the AI services in SAP Business Technology Platform in combination with open-source tooling as relevant.

 

Scope of Work

You will have the opportunity to work alongside the AI teams and Customer Advisory leaders across APAC to create assets that showcase the value proposition of SAP Business AI. This role focuses on leveraging custom-built AI to extend SAP Cloud solutions, as opposed to AI available off the shelf in SAP’s Cloud Solutions.

We are a regional team of Business AI Experts across Asia Pacific Japan. We support the Market Units with proof-of-concept prototypes, innovative AI solutions, design thinking workshops, and solution demos.

 

What you bring:

We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

 

Expectations & Tasks

You would be assigned a project task for exploration. See below examples to get an idea.

We expect:

· Willingness to learn SAP technology and explore new ways of tackling enterprise problems

· Ability to understand a problem from the point of view of end users, identify creative ways to solve for challenges with the latest in AI innovation

· Self-motivated and has the desire to learn new technologies, plus share the learnings

· Adaptable to new processes, tools, and working environment

· Create reusable assets and socialise innovative content internally & externally, with blogs, demos, presentations, etc.

 

In your internship, you will:

· Dive into new tech

· Be granted to explore and empowered to make decisions for your project

· Have large freedom to choose tools or approaches

· Work with SAP and Non-SAP tech alike

· Work in an international team, we are in Singapore, Australia, India, Korea & Japan!

 

Examples from previous interns and their projects:

· https://community.sap.com/t5/technology-blogs-by-sap/leveraging-image-embedding-and-hana-vector-engine-for-reverse-product/ba-p/13798320

· https://community.sap.com/t5/technology-blogs-by-sap/exploring-the-frontiers-of-retail-a-glimpse-into-ai-s-potential-with-our/ba-p/13785292

· https://blogs.sap.com/2023/09/12/qm-app/

· https://blogs.sap.com/2023/02/27/create-maintenance-notification-for-sap-s-4hana-using-ibm-watson-and-sap-services/

· https://blogs.sap.com/2022/09/28/automated-yard-check-in-processes-using-tinyml-part-1-of-2/

· https://blogs.sap.com/2023/01/18/create-maintenance-request-in-sap-s-4hana-using-sap-build-appsaka-appgyver-and-azure-anomaly-detector/

· https://blogs.sap.com/2022/10/04/creating-supplier-invoice-in-sap-s-4hana-cloud-using-sap-appgyver/

· https://blogs.sap.com/2022/05/20/ai-on-mobile-powering-your-field-force-part-1/

 

Skills / Competencies

· A bachelor or master’s degree in computer science, or a related technical discipline

· Experience with frameworks for building and deploying LLM-powered applications, including prompt engineering, chain creation, and data integration

· Ability to choose the right model for a specific task and fine-tune it as required

· Familiarity with cloud platforms for deploying and managing machine learning models & LLMs

· Proficiency in Python for data manipulation, model development, and integration with AI libraries

· Ability to effectively communicate model results and insights through visualizations

· Awareness of SAP suite of solutions across line of businesses, like Finance, Spend, HR and Customer Experience

·

Educational Requirements

· Requires candidates to be currently enrolled in or have recently completed an undergraduate program which is applicable to the position.

· Please include your transcript in your application

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 416971  | Work Area: Administration  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations: #LI-Hybrid.

Requisition ID:  416971
Posted Date:  Jan 21, 2025
Work Area:  Administration
Career Status:  Student
Employment Type:  Limited Full Time
Expected Travel:  0 - 10%
Location: 

Singapore, SG, 117440

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