Senior Applied ML Engineer (Speech & Audio)
Tasks
- Apply quantization
- Collaborate with product teams for production deployment
- Conduct experiments from research papers
- Construct data pipelines for audio preprocessing
- Deploy speech systems with engineering teams
- Design machine learning models for Arabic voice applications
- Evaluate TTS and ASR with Arabic test sets
- Fine tune ASR models
- Fine tune TTS models
- Implement diacritization Tashkil
- Integrate speech to speech conversational pipelines
- Optimize model inference for production
- Optimize streaming inference
- Perform audio data cleaning and augmentation
- Tune KV cache
Perks/Benefits
- Accommodation allowance
- Career growth
- Coffee and other hot drinks
- Company events and parties
- Daily breakfast
- Feedback encouragement
- Flexible schedule
- Free benefits
- Fruits
- Medical insurance
- Open-door management
- Paid vacations
- Recognition and reward programs
- Social insurance
- Soft Drinks and Juices
- Transportation allowance
Skills/Tech-stack
Activity Detection | Audio Processing | Audio codecs | Audio preprocessing | Automatic Speech Recognition | Code Switching | Conformer | Data Augmentation | Diacritization | Dialects | Diffusion Models | HiFi-GAN | Hugging Face | KV cache | NVIDIA TensorRT | Neural vocoders | PyTorch | Python | Quantization | Speaker Diarization | Speech Recognition | Speech-to-speech | Streaming inference | Text to Speech | Voice Activity Detection | Whisper
Education
N/A
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