SAP iXp Intern - AI & Data Engineer Foundation Model
Full-time
SAP
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 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 in their careers. Three reasons to intern at SAP- Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.
- Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
- 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.
- Collaborate with Applied AI Researchers and AI Engineers to support data needs for various research projects.
- Develop opportunities to shape and have an influential impact on the future of SAP's AI portfolio and its suite of enterprise software products.
- Work with cloud platforms for data processing, data lakes, and model training providers.
- Gain hands-on experiences with Python, Machine Learning/Deep Learning libraries & Knowledge Graphs.
- Develop and maintain data pipelines for structured data powering the training of Foundational Models for Tabular Data.
- Build innovative tools to enrich and scale the training of large machine models on enterprise software data
- Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Science or a related field.
- Good communication and teamwork abilities.
- Strong understanding of Machine Learning algorithms and Deep Learning pre-training & fine-tuning techniques, particularly in the context of structured data.
- Experience in Python for Data Science and experience with Machine Learning framework for Deep Learning
- Experience with cloud-based Data Lakes & data processing pipeline on large volumes of data (e.g., Azure ML, Databricks, Apache Spark).
- Knowledge or experience working with SAP ERP Software (such as S/4HANA or ECC) and SAP BTP is a plus.
- Knowledge of version control systems like Git and familiar with using Unix or windows-based command lines.
- Bachelor's or Master's degree (ongoing or recently completed)
Montreal, Quebec, CA, H3B 0B3
Vacancy posted 3 days ago
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