Student / Intern

Descrizione del lavoro:

Come and join us! This is an excellent Intern position. Oracle University is looking for a master's degree student that is about to complete the program, that has advanced knowledge in Generative AI. We're looking for motivated students who want to leave their mark in one of the world's largest B2B technology companies.
Oracle University is part of Customer Success Services (CSS), which is Oracle's 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 6,000 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 requirements-helping them maximize their investment, minimize risk, and achieve more.

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

Career Level - IC0

Requisiti del candidato:

eir investment, minimize risk, and achieve more.
What You'll 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 master's 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 and NLP.
* 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