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:
- Strong 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 benefit from;
- Being part of a growing global company;
- Career development and a promote from within culture;
- An organisation committed to Diversity and Inclusion
We're committed to providing work-life balance for our people in an inclusive, rewarding environment.
We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career
progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities
to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.
