Machine Learning Engineer

Nurix; Karnataka; On-site; INR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Competitive compensation and perf‑base

Job summary

Nurix AI is seeking a Machine Learning Engineer to advance conversational AI, focusing on building robust ASR/TTS systems for multilingual Indian contexts and creating guardrails beyond IVR flows. You will design, train, and deploy real-time speech systems, collaborating with product and engineering to ship production‑ready features.

Ideal candidates have 4+ years in ML engineering with expertise in ASR, TTS, NLP, and LLM fine‑tuning, plus Python and ML frameworks, and a track record in

Qualifications

• Bachelor’s degree in Computer Science, AI/ML, or related field.
• 4+ 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).
• 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.

Responsibilities

• Design, train, and optimize custom ASR/TTS models to improve accuracy across Indian multilingual settings.
• Build conversational agents that handle interruptions, natural pauses, and real‑world voice variability.
• Contribute to Voice‑to‑Voice (V2V) systems and Agentic RAG pipelines for context‑aware voice agents.
• Collaborate with MLOps to bring models into real‑time, low‑latency production environments; ensure scalability, security, and reliability.
• Partner with product and engineering teams to deliver production‑ready features and stay updated on ASR, TTS, NLP, LLM advances.

Skills

Python

ML engineering

Speech NLP

LLM fine-tuning

Multilingual ASR/TTS

Education

Bachelor's degree in CS/AI/related

Tools

PyTorch

TensorFlow

JAX

Job description

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
• 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 we're looking for:

• Bachelor’s degree in Computer Science, AI/ML, or related field.
• 4+ 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).
• 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.