ML Engineer - NuPlay (Nurix AI)

Meraki-Labs; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Nurix AI is building autonomous multilingual voice agents for enterprise workflows. As a Machine Learning Engineer, you will design and deploy robust ASR/TTS systems, implement guardrails, and optimize real-time inference across Indian contexts.

You will collaborate with product and MLOps, tune LLMs, and contribute to open‑source research while tackling low‑latency challenges and ensuring scalable, secure production systems.

Qualifications

• Bachelor's degree in CS/AI/ML or related field.
• 2 to 7 years of hands-on ML engineering experience in speech/NLP.
• Strong expertise in ASR, TTS, NLP, LLM fine-tuning, or dialogue systems.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).

Responsibilities

• Design, train, and optimize custom ASR/TTS models for multilingual Indian contexts.
• Build conversational agents that handle interruptions and natural pauses with low latency.
• Develop Voice-to-Voice (V2V) systems and agentic RAG pipelines with LLM orchestration.
• Collaborate with MLOps to deploy models in real-time production environments.

Skills

ASR

TTS

NLP

LLM fine-tuning

Dialogue systems

Python

Real-time ML

LLM orchestration

Education

Bachelor's degree in CS/AI/ML

Tools

PyTorch

TensorFlow

JAX

Job description

About Nurix AI

At Nurix AI, we are pioneering the Autopilot Enterprise. Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises need a new playbook, we build autonomous, multilingual agents capable of complex reasoning, contextual understanding, and end-to-end workflow ownership. Backed by $27.5M in funding from Accel, General Catalyst, and Meraki Labs, and led by Mukesh Bansal, we are India's first scaled enterprise AI company, delivering cutting-edge AI solutions that integrate seamlessly into workflows across industries like Retail, Insurance, Education & Home Services. Join us in shaping the future of enterprise AI — where every interaction is smarter, faster, and human-like.

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. This role is ideal for engineers who want to push the boundaries of speech, LLMs, and agentic AI in production at scale.

Key Responsibilities

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.

Core ML/AI Development

• 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

Engineering & Deployment

• Collaborate with MLOps to bring models into real-time, low-latency production environments.

  • Ensure scalability, security, and reliability of deployed ML systems.

Collaboration & Research

• 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 we’re looking for:

• 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.

• Contributions to open‑source ML projects or research publications.

• Prior work on multilingual or Indian‑context ASR/TTS systems.

Why Nurix:

• Work at the cutting edge of AI and enterprise technology

• Be part of a mission‑driven, high‑growth startup

• Direct impact on products used by large‑scale enterprise clients

• A vibrant and dynamic work environment fostering professional growth and innovation.

• Competitive compensation and performance‑based incentives.

• A front‑row seat in the GenAI revolution, working with a team of passionate, like‑minded innovators.