Intern/ Working Student

vor 2 Wochen

Walldorf, Baden-Württemberg, Deutschland SAP Vollzeit

We empower innovation to drive sustainable growth

Our company is committed to fostering a culture where our team members are encouraged to collaborate and create groundbreaking solutions. We are dedicated to laying the groundwork for the future, promoting diversity, flexibility, and a purpose-driven work environment. Join us in a supportive team setting that values continuous learning, recognizes individual contributions, and offers various benefits to suit your needs.

TEAM INSIGHT

The Infused Intelligence team specializes in delivering innovative cloud solutions using AI/ML technologies to support different areas within the company. From marketing to post-sales, HR, and finance, team members are at the forefront of developing cutting-edge AI solutions. You'll be involved in the complete AI lifecycle, from data processing and analysis to model training and deployment in SAP environments such as SAP HANA, SAP Analytics Cloud, and SAP BTP, as well as other partner platforms. Each project presents unique challenges that require advanced research and development efforts, contributing to our growing knowledge base.

OPPORTUNITY OVERVIEW

  • Collaborate with a skilled team of data scientists, MLOps, and software engineers on ML modeling and pipeline deployment throughout all development stages.
  • Engage with stakeholders to grasp business processes and model input data effectively.
  • Contribute to a high-visibility project alongside experienced data scientists and AI developers.
  • Gain insights into implementing data-centric AI development practices.
  • Utilize modern cloud technologies like SAP BTP and Hyperscaler offerings.

REQUIREMENTS

Must have:

  • Bachelor's Degree in Data Science or related fields.
  • Proficiency in Python and another programming/scripting language (e.g., Java, SQL, Scala).
  • Experience with essential data science and visualization packages in Python (e.g., pandas, numpy, seaborn).
  • Proficiency in at least one machine learning framework (e.g., sklearn, tensorflow).
  • Familiarity with large-scale data analysis using spark.
  • Strong grasp of statistical methods and model quality assessment.
  • Excellent oral and written communication skills in English.
  • Interest in applied machine learning for business problem-solving.
  • Experience handling complex tabular data.

Nice to have:

  • Exposure to explainability and interpretability of ML models (e.g., SHAP).
  • Familiarity with Deep Learning architectures like transformers.
  • Knowledge of software version control tools such as GitHub.
  • Experience with CI/CD frameworks like Jenkins.
  • Familiarity with MLOps tools like mlflow.
  • Proficiency in writing tests for ML models.
  • Interest in developing model evaluation pipelines.

This position offers a valuable opportunity for students to gain real-world experience and purpose in their careers at SAP.

Your application should include a cover letter, resume, academic certificates, enrollment proof, transcripts, academic degrees, and any references. Feel free to highlight your language skills and technical expertise.

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