SAP Machine Learning Developer Intern 

Singapore, Singapore 

283274557

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

Expected Start Date: January 2025

Contract Duration: 6- 9 Months

Work Hours: 40 hours per week

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

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

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

· 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

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

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