Posted on: 12/08/2025
Job Description :
Responsibilities :
- Develop and refine a personalized event recommendation engine.
- Build and optimize embedding-based similarity models using tools like sentence-transformers.
- Integrate LLMs, LangChain, or retrieval systems to create an intelligent event chat interface.
- Experiment with ranking algorithms, content-based filters, and user engagement signals.
- Collaborate closely with a small, agile team of designers, product owners, and developers.
- Own systems from prototype to deployment, with freedom to explore and iterate fast.
Requirements :
- 3- 6 years of experience in AI/ML/NLP, with a focus on recommendation systems.
- Strong Python engineering background.
- Hands-on with : Embeddings and vector similarity (e. g., cosine similarity), Event-driven or content-based recommenders, Text ranking, transformers, or vector DBs (e. g., FAISS, Pinecone).
- Experience building from scratch or scaling AI systems.
Nice-to-Have :
- Exposure to LLMs, LangChain, or conversational AI.
- Graph-based models or social feed architectures.
- Full-stack experience (FastAPI, React, etc.).
- Previous work with semantic search or user behavior modeling.
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