Machine Learning Engineer

About the role

As a Machine Learning Engineer at Nurix AI, you will play a pivotal role in solving some of the hardest challenges in conversational AI. You’ll work on building robust ASR/TTS systems for multilingual Indian contexts, designing guardrails that go beyond IVR-like flows, and ensuring real-time, low-latency conversational agents that can handle human pauses and interruptions.

What you'll do

• Speech & Voice Systems
• Design, train, and optimize custom ASR/TTS models to overcome limitations of Sarvam ASR and improve accuracy across Indian multilingual settings
• Build conversational agents that can handle interruptions, natural pauses, and real-world voice variability without breakdowns
• Contribute to Voice-to-Voice (V2V) systems using state space models Develop Agentic RAG pipelines and LLM orchestration for intelligent, context-aware voice agents
• Work on self-learning agents capable of continuous improvement by observing human workflows and feedback

What you need

• 4–7 years in data science & ai
• Machine learning
• LLMs
• Python
• NLP
• PyTorch
• TensorFlow
• B.Tech or B.E. or B.Sc or BCA

Good to have

• MLOps

What you get

• ₹30 L–₹45 L a year