ML Engineer

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.

Experience
4-8 yrs