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SAP SAP iXp Intern - AI Scientist 
India, Karnataka, Bengaluru 
35998782

Yesterday

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:

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


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