SAP SAP iXp Intern - AI Development Implementation 

United States, Illinois, Chicago 

668134827

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.: with the 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:August / September 2024

Duration:12 months

Working hours: Full-time40 hrs./week

As AI is a steadily changing field, the ability to deal with change, complexity, resilience, and resourcefulness are key for this position.

Key Responsibilities:

• Assist in the development and deployment of AI use cases, applying novel approaches to improve operational effectiveness.
• Participate in the full lifecycle of AI projects from ideation to deployment.
• Support the integration of AI solutions into existing software products.
• Research the ever-changing and emerging AI trends and assess their applicability.
• Create and maintain technical documentation and reports.

What you bring:

We’re looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

Ideal Qualifications:

Pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related fields. Exceptions are possible when demonstrating strong resourcefulness in applying technology or developing solutions in creative ways.

Technical Skills:

• Programming Languages: Proficiency in Python is helpful; familiarity with JavaScript and front-end development is a plus. Any high-level programming language counts.
• AI & Machine Learning: Experience with open source machine learning frameworks (e.g. PyTorch, Llamaindex) or extensive use of frontier language model use.
• Data Science: Understanding of data analysis, statistical modeling, and data visualization tools.

Other Skills:

• Strong problem-solving abilities and practical application of AI techniques.
• Excellent communication and teamwork skills.
• Ability to learn quickly and adapt to new technologies and methodologies.
• Business acumen to understand the impact of AI solutions on business processes and outcomes.

Helpful Qualifications:

• Experience with cloud platforms (e.g., AWS, Google Cloud) and version control systems (e.g., Git).
• Knowledge of REST API development and database design (NoSQL and RDBMS).
• Prior experience in project or program leadership and agile methodologies.
• Background in user experience design and prototyping.
• Proven scientific rigor in conducting experiments.

Helpful Additional Skills:

• Familiarity with full-stack development, including front-end technologies.
• Experience with innovation accelerators and entrepreneurial initiatives.
• Knowledge of industry-specific AI applications and market trends.