About this role
Uni Internship Jan to July 2027 - Enhancing Tandem/In-SYNc at Scale for Public Healthcare at Synapxe. Location: Singapore. Role: implementing ai, developing applications, evaluating models Requirements: Undergraduate (Yr2–Yr3) in related degree; strong Python and coding fundamentals; experience with NLP/deep learning (PyTorch, TensorFlow); familiarity with LLMs, RAG, prompt engineering, APIs, and tools like Git, VS Code, Jupyter; hands-on (Gen)AI project experience. Category: Data and Analytics Seniority: Entry Level Tools: Python, PyTorch, TensorFlow, GPT, Anthropic, Gemini, Llama, Azure AI SDK, Strands, LangChain, LangGraph, Ragas, DeepEval, VS Code, Jupyter Notebook, Git, Flask Commitment: Internship Workplace: Onsite Languages: English