AI Product Intern
7 days ago
About Amber ( )
Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.
We are growing rapidly and targeting $1B in annual gross bookings value by 2024. Amber raised $18.5M from Marquee investors like Gaja capital.
If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing
What You'll Do
- Work closely with founders and leadership to identify AI-driven efficiencies across product, operations, marketing, and finance.
- Prototype, test, and deploy AI/ML solutions to automate workflows, optimize processes, and enhance decision-making.
- Explore and implement state-of-the-art AI models (LLMs, NLP, Computer Vision, Predictive Analytics).
- Build internal AI tools and automation systems to improve productivity across departments.
- Collaborate with engineering and product teams to integrate AI models into live systems.
- Research and experiment with cutting-edge AI/ML frameworks and technologies.
Who We're Looking For
- Tier-1 College Candidates – IITs, NITs, BITS, IIITs, or equivalent premier engineering institutions.
- B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or related fields.
- AI Experience – Prior projects, research, or internships in AI/ML (preferably around automation, NLP, or LLMs).
- Tech Skills:
- Proficiency in Python, TensorFlow, PyTorch, OpenAI APIs, Hugging Face, LangChain.
- Experience in building AI-powered applications and APIs.
- Strong understanding of data structures, algorithms, and AI/ML fundamentals.
- Familiarity with Vector Databases, RAG (Retrieval Augmented Generation), AutoGPT, etc. is a plus.
Why Join Us?
- Work directly with the founders on real-world AI applications.
- Impact-driven role – Apply AI across multiple business functions.
- Fast-paced learning – Exposure to the latest AI/ML models and hands-on projects.
- Potential for full-time role – High performers may be offered pre-placement offers (PPOs).
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