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AI / ML Engineer

AI / ML Engineer

VolumXHaryāna, Republic Of India, IN
1 day ago
Job description

About VolumX

VolumX is India’s first and leading company for digital humans, trusted by Oscar-winning studios and global brands. Using some of the most advance technologies, we are creating lifelike digital doubles for celebrities powering face replacements, de-aging, and autonomous digital humans.

Now, we’re pushing into AI driven performance synthesis and we’re inviting talented engineers to join us in shaping the future of content and immersive interactions.

Requirement

  • Strong experience in AI / ML model development (PyTorch, TensorFlow).
  • Practical experience with video generation, face replacement, digital doubles.
  • Understanding of Gaussian splats / NeRF / neural rendering concepts.
  • Knowledge of emotion recognition & sentiment analysis models.
  • Experience with real-time inference optimization (ONNX, TensorRT, quantization).
  • Background in speech processing (ASR, vocoders, prosody control) to train facial expression model .
  • Familiarity with lip-sync engines (e.G., Rhubarb, Wav2Lip, custom phoneme alignment).
  • Strong programming skills in Python
  • Experience in multimodal AI (audio + video + text).
  • Experience deploying AI in cloud environments (AWS / GCP / Azure, Docker, Kubernetes).
  • Hands-on expertise with STT / TTS frameworks (LiveKit, Whisper, Riva, Coqui TTS, Tacotron, FastSpeech, VITS, etc.).

Responsibilities

Face & Video Models

  • Train person-specific models for face reenactment, face swapping, and de-aging.
  • Build high-res, temporally consistent face replacement pipelines.
  • Test and implement neural rendering pipelines using Gaussians, Nerfs, Diffusion
  • Lip Sync & Emotions

  • Implement or adapt lip-sync models (e.G. Wav2Lip-style, phoneme / viseme-based).
  • Research and integrate emotion recognition models (from audio / text input).
  • Map emotion states into facial rigs and lip-sync engines.
  • Interface outputs with rigs / MetaHumans via blendshapes or bone controls.
  • Pipeline Engineering

  • Design low-latency inference pipelines for STT → NLU → TTS.
  • Optimize models for real-time streaming (GPU / TPU / Cloud deployment).
  • Work with backend engineers to expose AI services via APIs / WebSockets.
  • Collaboration & Integration

  • Partner with Unreal engineers to sync AI outputs with Pixel Streaming.
  • Ensure smooth coordination between voice, facial animation, and emotional response.
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