AI Expert

Voice Bot Systems Project

About the Role

We are looking for an AI Expert to join our team as the technical anchor for next-generation real-time voice bot systems. While our Software Engineers focus on integration and infrastructure, this role owns the intelligence layer - designing, training, evaluating, and optimizing the AI models that make voice interactions actually work: from acoustic understanding to natural speech synthesis, speaker identification, and language comprehension in noisy, real-world conditions.

Key Responsibilities

Voice AI Research & Development

• Design and develop end-to-end voice pipelines: ASR → NLU → dialogue management → TTS, with full understanding of the trade-offs at each stage
• Research, evaluate, and fine-tune models for Vietnamese-language voice tasks: ASR accuracy on domain-specific vocabulary (vehicle names, locations, plate numbers), TTS naturalness, speaker diarization in multi-party calls
• Build and maintain evaluation frameworks for voice AI quality: Word Error Rate (WER), Real-Time Factor (RTF), MOS scoring, speaker turn accuracy, end-to-end latency benchmarks

Model Fine-tuning & Training

• Fine-tune ASR models (Whisper, Gipformer, wav2vec 2.0) on domain-specific and accent-specific Vietnamese data
• Fine-tune TTS models (F5-TTS, VoxCPM2, VITS) to produce natural, brand-consistent voice output for CSKH scenarios
• Build and curate training datasets: audio collection pipelines, annotation tooling, data quality validation
• Apply speaker diarization and voice activity detection (VAD) to segment and attribute multi-speaker call audio

LLM & NLU Integration

• Design prompt strategies and context management for LLM-driven dialogue in voice-specific constraints (no markdown, short sentences, natural prosody cues)
• Develop intent classification, entity extraction, and slot-filling components tuned for spoken Vietnamese, including noisy transcripts from imperfect ASR
• Evaluate and mitigate hallucination in voice LLM pipelines, including ASR-grounded prompting and transcript correction techniques

Production & Optimization

• Optimize inference latency for real-time constraints: quantization, batching, streaming inference, model distillation
• Design and run A/B experiments on model variants in production; define statistical evaluation criteria for voice quality metrics
• Collaborate with Software Engineers on model serving architecture (GPU inference servers, ONNX runtime, TorchServe, Triton)
• Build monitoring pipelines for model performance drift, ASR degradation, and TTS quality regression in production

Required Qualifications:

Education

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Linguistics, or a directly related field. PhD is a plus for research-heavy responsibilities.

Hands-on voice AI experience (required)

• 3–5+ years of hands-on experience building and deploying voice AI systems — not just integrating cloud APIs, but working with the models themselves
• Demonstrated experience with at least two of: ASR fine-tuning, TTS model training, speaker diarization, VAD, voice conversion, or acoustic modeling
• Prior production experience with real-time voice pipelines where latency, reliability, and audio quality were hard constraints

Deep learning & NLP foundations

• Solid understanding of sequence modeling (Transformer, CTC, RNN), attention mechanisms, and how they apply to speech and language tasks
• Familiarity with acoustic features (MFCCs, mel spectrograms, filterbanks) and audio signal processing fundamentals
• Experience with speech-specific deep learning frameworks: ESPnet, SpeechBrain, NeMo, Hugging Face transformers + datasets for audio

Engineering skills

• Strong Python; comfortable with PyTorch or TensorFlow for model development and fine-tuning
• Ability to write production-quality code, not just research scripts: modular, testable, observable
• Experience with ML experiment tracking (MLflow, W&B), model versioning, and reproducibility practices
• Familiarity with Docker and GPU infrastructure for model serving

Kindly send your CV via: [email protected]