About the role
Requirements:
- 2-7 years of hands-on experience in AI / ML roles, ideally in startups or product-driven teams.
- Strong grasp of LLM fine-tuning, instruction tuning, or pretraining techniques.
- Familiarity with TTS/STT systems, Whisper, Tacotron, VITS, or other open-source models.
- Experience with multimodal architectures, generative audio, GANs, or diffusion-based models.
- Ability to work with real-world messy data, design training pipelines, and debug model failure modes.
- Fluency in frameworks like PyTorch, HuggingFace, and TensorFlow and ecosystem tools (ONNX, Triton, LangChain, etc. ).
- Passion for building high-impact AI features that ship to real customers.