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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.
What you’ll do:
Start Date: June 9th
Duration: 6 Months
Schedule: 40 HR/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.
As Intern AI Scientist, on a day-to-day basis, you will collaborate with engineers and experts in the fields of machine learning and SAP enterprise domain, apply your knowledge to solve
interesting data-driven problems and work hands-on to implement your ideas. You will be tackling complex technical challenges independently and as a member of small teams. As an AI Scientist, you will articulate machine learning problems for a use case, build machine learning models, validate them, share the results and possibly deploy them for consumption. You will prototype technology concepts with short turnaround times.
Qualifications:
Education : Bachelors or Masters degree in a related field. Graduating Seniors/2nd Year Masters highly desirable.
Preferred Concentrations: Computer Science, Machine Learning, Mathematics, Statistics or related field
Eligibility : Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor’s, master’s or JD/PhD program
Experience with Python, with an emphasis on data-science and machine-learning related libraries (Scikit-Learn, Pandas, Numpy, TensorFlow or PyTorch), LLM framework like LangChain/LangGraph, CrewAI etc
Nice to have exposure to TensorBoard, MLFlow or pipeline frameworks , Agentic Framework, Graph ML, PyTorch or ML Framework
Work with state-of-the-art machine learning and deep learning models especially fine tuning foundation models
Identify additional challenges and document how we might overcome them
Excellent knowledge in popular modern machine learning algorithms
Great mathematical skills.Strong enthusiasm and interest in new technologies and business models of the next generation
San Jose
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