Artificial Intelligence Engineer

4 days ago


Faridabad, India VolumX Full time

About VolumXVolumX 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.).ResponsibilitiesFace & 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, DiffusionLip 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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