Machine Learning Developer Intern

at  SAP

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 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.

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.

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

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.