Senior Applied ML Engineer (Speech & Audio)
Tasks
- Apply quantization
- Benchmark TTS and ASR models
- Clean and augment datasets
- Construct Arabic speech data pipelines
- Deploy speech systems to production
- Fine tune generative voice models
- Implement streaming inference
- Integrate speech to speech conversational systems
- Optimize model inference for production
- Perform diacritization
- Preprocess audio data
- Run experiments from research papers
- Tune KV cache
Perks/Benefits
- Accommodation allowance
- Career Development Programs
- Career growth opportunities
- Coffee
- Daily Drinks
- Daily breakfast
- Feedback encouragement
- Flexible schedule
- Free employee benefits
- Fruits
- Full medical insurance
- Games room
- Open Door Management Policy
- Paid vacations
- Recognition and reward programs
- Social insurance
- Soft Drinks and Juices
- Transportation allowance
Skills/Tech-stack
Activity Detection | Audio codecs | Audio preprocessing | Automatic Speech Recognition | Conformer | Data Augmentation | Diacritization | Diffusion Models | Generative Models | HiFi-GAN | Hugging Face | KV cache | NVIDIA CUDA | NVIDIA GPUs | NVIDIA TensorRT | Network inference | Neural Network | Neural network inference | Neural vocoders | PyTorch | Python | Quantization | Speaker Diarization | Speech Recognition | Streaming inference | Text to Speech | Voice Activity Detection | Whisper
Education
N/A
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