EIC Intern - Technical Assessment and Monitoring (Risk Advisory)
Job Description Summary
Job Description
This role requires the candidate to be involved in building and deploying AI/ML solutions, working across Python, Large Language Models, RAG pipelines, and Full Stack Development, while collaborating with the engineering team to deliver intelligent, production-ready applications.
About the Role:
Robust understanding of Machine Learning concepts — supervised, unsupervised learning, model training and evaluation.
Knowledge of Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, LLaMA, or Mistral
Understanding of Prompt Engineering and LLM API integration
Knowledge of RAG (Retrieval-Augmented Generation) architecture and its real-world applications
Exposure to LLM orchestration tools — LangChain or LlamaIndex
Basic familiarity with Vector Databases — Pinecone, FAISS, or ChromaDB
Basic knowledge of backend frameworks — FastAPI or Flask for REST API development
Understanding of Full Stack Development — React or Next.js (Frontend),
Python-based Backend
Familiarity with databases — Firebase, PostgreSQL, MongoDB
About You:
Bachelor’s in computer science / information technology / Artificial Intelligence & Machine Learning
Currently pursuing T.E. (Third Year) or Final Year of graduation
Basic to intermediate hands-on knowledge of Python and its core libraries
Familiarity with Machine Learning concepts and model building
Exposure to Large Language Models and Generative AI tools
Ability to understand and work with RAG pipelines and vector databases
Academic or personal projects related to AI / ML / LLM / Full Stack Development
Basic Full Stack development skills — Frontend (React) and Backend (Python)
Why join Cushman & Wakefield?
As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will advantage from;
Being part of a growin