The Role
Build and optimize multilingual ASR/TTS and voice-to-voice systems for conversational AI. Develop agentic RAG pipelines, LLM orchestration, self-learning agents, and real-time low-latency ML applications. Collaborate with MLOps and product teams to deploy scalable, secure, reliable production systems, while advancing speech, NLP, LLM, and inference capabilities for Indian-language contexts.
Summary Generated by Built In
Machine Learning Engineer
Location - Bangalore, Onsite
About Us
At Nurix AI, we envision a world powered by super-intelligent AI agents that transform how businesses engage with customers. Our cutting-edge AI agents do more than just solve problems, they create opportunities. From suggesting next purchases to boosting revenue while maintaining customer satisfaction, to analyzing vast datasets for actionable insights, our technologies shape your business and product strategies. By resolving queries with precision and delivering highly personalized interactions, we redefine the customer experience and drive measurable impact.
Nurix.ai is at the forefront of AI innovation, developing cutting-edge AI and LLM solutions to enhance productivity and automation. Backed by $27.5M in seed funding, we are building next-gen AI-driven applications that redefine human-machine collaboration. We are looking for a Technical Lead to spearhead our AI engineering efforts and drive product innovation.
We are pioneering the AI revolution as India’s first scaled AI services company. We deliver cutting-edge AI and LLM solutions tailored for the dynamic needs of the modern world. Backed by robust funding we are a vibrant, young team set on redefining technological boundaries. Join us in shaping the future.
Join us in building the future, where every interaction is smarter, faster and more impactful.
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.
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.
- 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
- Strong 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 machine learning lifecycle, evaluation, and deployment practices
- Contributions to open-source ML projects or research publications
- Prior experience with multilingual or Indian-context ASR/TTS systems
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The Company
What We Do
Nurix AI (now NuPlay AI) develops enterprise conversational AI agents and workflow automation software. Its platform delivers voice and chat agents that engage customers, qualify leads, resolve support requests, and execute back-office operations across connected business systems. Designed for production use, the company helps enterprises automate end-to-end workflows across sales, support, retail, insurance, financial services, and other customer-facing and internal functions.
