AIML Lead

13 hours ago

Noida, Uttar Pradesh, India University Living Accommodation Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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.

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