Student Intern

Come and join us! This is an excellent Intern position. Oracle University is looking for a masters degree student that is about to complete the program that has advanced knowledge in Generative AI. Were looking for motivated students who want to leave their mark in one of the worlds largest B2B technology companies.

Oracle University is part of Customer Success Services (CSS) which is Oracles North Star when organizations choose to partner with us we work with them across their journey

Businesses who have turned to Oracle for cloud and application solutions trust Oracle Success Services to help them get the most out of their investment. For more than 20 years Oracle CSS has helped more than 6000 companies across 100 countries gain the speed flexibility and security features that they require. We work side by side with customers to understand their unique business goals and requirementshelping them maximize their investment minimize risk and achieve more.

Important: Its important that you are an active student in order to participate in the process.

eir investment minimize risk and achieve more.

What Youll Experience:

• Developing maintaining and updating training content for various Generative AI and OCI certifications. Content includes creating course work and writing certification exam questions.
• Providing Quality Assurance reviews (A second pair of eyes) for content developed by colleagues.
• Shadowing mentoring and training opportunities with our experienced team of professionals.
• Hands-on application of Generative AI skills in a fast-paced work environment.
• Learn and be part of a fostering culture of continuous learning and development.
• 30 or 40 hours per week your choice!

Qualifications & Characteristics:

• Enrolled in masters degree in a Computer Science Data Science AI Information Technology Computer Engineering or related programs.
• Ability to speak and write in English fluently.
• Core ML concepts: Supervised vs. unsupervised learning overfitting/regularization train/validation/test evaluation metrics (precision/recall/F1 ROC-AUC) data leakage ConvNet andNLP.
• Gen AI/LLM: Prompts and prompt patterns retrieval-augmented generation (RAG) basics embeddings/vector search hallucinations/limitations basic fine-tuning concepts (when/why) MCP Multi-agent orchestration.
• Data skills: data cleaning working with structured + unstructured text data.
• Hands-on technical skills (build + demo)
• Python (preferred) and notebooks; ability to produce demos.
• Basic software practices: Git code readability simple testing packaging/sharing notebooks.
• Familiarity with Cloud technologies such as OCI Azure AWS etc. Cloud certification is desirable.
• Demonstrates good communication and project management skills.
• Eagerness to learn and adapt to new technologies and methodologies.

Career Level - IC0