About us :

University Living is a global student housing marketplace that helps international students find the best place to stay near university campuses around the world. Currently, our platform offers 2Mn beds in 65K + properties across 512+ international education hubs in the UK, Ireland, USA, Canada, Europe, Australia, New Zealand, Singapore & UAE. Students can consult a 24/7 support team of accommodation experts to discover, compare and book value-for-money accommodation based on their budget, desired location, and other personal preferences.

As the AI & ML Lead, you will spearhead the development of our conversational AI system. You will define the technical strategy, lead model design and implementation, and work on large language models (LLMs) to fine-tune, deploy, and optimize human-like conversational agents. This role involves hands-on development, collaboration with cross-functional teams, and leveraging tools such as OpenAI and cloud systems like AWS for scalable AI deployments.

Key Responsibilities :

- Lead the design and development of LLM-based AI models

- Integrate voice APIs and platforms (e.g., Twilio, Exotel, ElevenLabs) for seamless call handling and speech workflows.

- Implement Retrieval-Augmented Generation (RAG) to improve response relevance and accuracy

- Deploy and manage AI models on cloud infrastructure (AWS/GCP/Azure)

- Establish MLOps practices, model monitoring, and version control.

- Stay updated on GenAI trends, LLM research, and speech tech advancements

Required Qualifications :

- 6+ years of hands-on AI/ML experience, with a strong focus on NLP, LLMs, and conversational AI.

- Proven expertise in fine-tuning and deploying large language models (e.g., GPT, OpenAI models, BERT).

- Strong understanding of ASR, speech recognition, & text-to-speech (TTS)

- Proficiency in Python and ML frameworks like TensorFlow or PyTorch.

- Experience with cloud-based AI deployments (AWS/GCP/Azure).

- Knowledge of RAG techniques, vector databases, and real-time inference pipelines.

- Strong problem-solving skills and experience leading AI/ML teams or projects.