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.
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).
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.
Skills Required
- Bachelor's degree in Computer Science, AI/ML, or a related field
- 4+ years of hands-on machine learning engineering experience focused on speech or NLP systems
- Expertise in ASR, TTS, NLP, LLM fine-tuning, or dialogue systems
- Proficiency in Python and ML frameworks including PyTorch, TensorFlow, or JAX
- Experience designing low-latency, real-time machine learning applications
- Strong understanding of the 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
What We Do
Meraki Labs is a Bangalore-based venture studio and startup incubator founded in 2020. It takes a hands-on approach to partnering with entrepreneurs and building companies around high-impact ideas, including deep-tech moonshots. Its portfolio and specialties span education, health, clean energy, e-mobility, fintech, fashion, and commerce. One initiative, Fermi, develops AI-powered tutoring tools that help students and teachers worldwide learn STEM subjects.
