ML Researcher​/Engineer – Voice & Generative AI

Position: ML Researcher / Engineer – Voice & Generative AI
Location: Bengaluru

Location:

Bengaluru (Work from Office – Domlur)
Team:  AI & Machine Learning

Experience:

2–7 Years
About the Role
We are looking for a passionate  ML Researcher / Engineer  to build and scale next-generation  LLM-powered voice and multimodal AI systems .
This role sits at the intersection of  Large Language Models, Speech AI (TTS/STT), and Generative AI , powering real-time AI agents used by millions of users.
If you love experimenting with cutting-edge models and shipping them into production at scale — this is for you.
What You’ll Do
Fine-tune, optimize, and deploy  LLMs, TTS, STT, and voice models  for real-time conversational systems.
Transform messy, real-world audio and text data into structured, high-quality datasets for training and evaluation.
Build and optimize  low-latency inference pipelines  for scalable voice agents and multimodal AI systems.
Collaborate with infra and product teams to ship  production-grade GenAI systems  with monitoring, observability, and fallback mechanisms.
Experiment with  GANs, diffusion models, audio generation, and multimodal fusion architectures .
Own the full ML lifecycle — research, experimentation, training, evaluation, deployment, and iteration.
What We’re Looking For
2–7 years of hands-on experience in AI/ML roles (startup or product-based experience preferred).
Strong expertise in  LLM fine-tuning, instruction tuning, or pretraining methodologies .
Experience working with TTS/STT systems such as:
Whisper
Tacotron
VITS
Exposure to multimodal architectures, generative audio systems, GANs, or diffusion models.
Strong debugging skills — ability to identify and fix model failure modes.
Proficiency in frameworks/tools such as:
Py Torch
Tensor Flow
Hugging Face
ONNX
NVIDIA Triton Inference Server
Lang Chain
Why Join Us?
Work at the forefront of  LLMs, Voice AI, and Generative Models  — and ship real production systems.
Build AI agents that impact  millions of users .
Collaborate with a high-caliber AI and product team.
Freedom to experiment — propose architectures, train foundational models, and own innovation.
Startup agility with enterprise-scale impact.
Solve multilingual India-first AI challenges across speech, reasoning, and personalization.