SAP SAP iXp Intern - Software/ML Engineer 

Germany, Saxony, Dresden 

301829512

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.

Expected start date to end date: April 2025

As an SAP CX-DAI iXp Intern – Software/ML Engineer, you will play a key role in innovative and incubation projects centering around delivering applications based on AI/ML. You'll be part of our dynamic team, working on various projects, building solutions based on image processing, embedding models, Data enrichment processing and recommendation systems. The role will include evaluating various software and machine learning components (LLM), UI Stacks, ML Libraries etc, that fits our architecture. It will also entail developing ML models for ideation, optimizing current solution and presenting the findings to various stakeholders. Furthermore, you will be part of the team to work on various Data Integration initiatives needed for AI/ML training’s, catering to the needs of our different Line of Business.The project will involve performance optimization,MLOps, testing, and evaluation of these systems. To conclude, it will be an opportunity to learn, understand and work on end to end AI/ML lifecycle and deliver solution on Cloud Native platforms. In addition, the role entails development of AgenticAI workflows, Agents and AI Tools.

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.

• : Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science 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.
• Proficiency in multiple programming languages preferably Java, Python (working experience ), Go etc
• Proficiency in front end technologies
• Strong foundational knowledge in Machine Learning and related technologies
• Understanding of MLOps principles, including model development, deployment and monitoring
• Experience with Cloud platform like Azure, AWS, GCP.
• Excellent analytical and problem-solving skills
• Self-starter and propensity to learn new technolgies
• Ability to work effectively in a fast-paced, team-oriented environment.

• Strong coding and problem solving skills
• Experience in working in Cloud Native platforms
• Experience in containerization and orchestration technologies like Kubernetes
• Familiarity with Automation tools for CI/CD, testing etc
• Foundational knowledge of Machine learning platforms
• Familiarity with version control systems like Git

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