ML Engineer - NuPlay (Nurix AI)

Overview

Machine Learning Engineer role building multilingual speech and conversational AI systems for Nurix AI's enterprise voice agents.

What you'll do

• 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.
• Collaborate with MLOps to bring models into real-time, low-latency production environments.
• Ensure scalability, security, and reliability of deployed ML systems.
• Partner closely with product and engineering teams to deliver production-ready features.
• Stay on top of the latest advances in ASR, TTS, NLP, LLMs, and real-time inference frameworks and apply them to Nurix's roadmap.

What you'll need

• Bachelor's degree in Computer Science, AI/ML, or related field.
• 2 to 7 years of hands-on ML engineering experience, with a focus on speech/NLP systems.
• Strong expertise in ASR, TTS, NLP, LLM fine-tuning, or dialogue systems.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).
• Experience in designing low-latency, real-time ML applications.
• Strong understanding of ML lifecycle, evaluation, and deployment practices.

Nice to have

• Contributions to open-source ML projects or research publications.
• Prior work on multilingual or Indian-context ASR/TTS systems.

Details

• Location: Bangalore, India.