Senior Applied ML Engineer

Nile Bits

Posted on 20 May

Experience

5 - 10 Years

Job Location

Cairo - Egypt

Education

Any Graduation

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Benchmark and evaluate TTS and ASR models using Arabic-specific test sets, measuring metrics such as Word Error Rate (WER), naturalness, and dialect coverage.

Fine-tune generative models for voice cloning, zero-shot speaker adaptation, and speech synthesis.

Build and maintain Arabic-focused data pipelines, including:

  • Audio collection and preprocessing
  • Diacritization (Tashkil)
  • Data cleaning and augmentation

Optimize model inference for production environments using:

  • Quantization
  • KV-cache tuning
  • Streaming inference techniques

Integrate and evaluate complete speech-to-speech conversational pipelines.

Conduct experiments based on recent research papers and convert findings into production-ready solutions.

Collaborate with engineering and product teams to deploy robust and scalable speech systems.

Desired Candidate Profile

Required Qualifications

  • 5+ years of experience in Machine Learning, Applied AI, or AI Research.
  • Strong programming skills in Python.
  • Extensive hands-on experience with PyTorch and the Hugging Face ecosystem.
  • Proven experience training and fine-tuning neural models for:
    • Text-to-Speech (TTS)
    • Automatic Speech Recognition (ASR)
    • Audio codecs
  • Deep understanding of modern speech architectures such as:
    • Whisper
    • Conformer
    • HiFi-GAN
    • Diffusion-based models
  • Experience with audio processing techniques including:
    • Voice Activity Detection (VAD)
    • Speaker Diarization
    • Neural Vocoders
  • Demonstrated ability to implement and adapt research papers into practical production experiments.
  • Strong understanding of Arabic language challenges, including:
    • Diacritization (Tashkil)
    • Dialectal variations
    • Code-switching
  • Experience with inference optimization techniques such as:
    • Quantization
    • Streaming inference
    • NVIDIA TensorRT

Preferred Qualifications

  • Experience developing custom NVIDIA CUDA kernels for high-performance model inference.
  • Familiarity with speculative decoding and other advanced acceleration techniques.
  • Experience deploying models at scale in cloud or GPU-based production environments.
  • Contributions to open-source speech or machine learning projects.

Company Industry

  • IT - Software Services

Department / Functional Area

  • IT Software

Keywords

  • Senior Applied ML Engineer (Speech & Audio)

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Nile Bits

Join a cutting-edge initiative focused on building advanced AI voice infrastructure for Arabic-speaking markets. The project involves developing state-of-the-art Arabic speech technologies, including:

  • Natural Text-to-Speech (TTS)
  • Real-Time Automatic Speech Recognition (ASR)
  • End-to-End Speech-to-Speech Conversational Systems

The solutions are tailored to regional Arabic dialects, including Egyptian, Gulf, Levantine, and others.

Read More

https://jobs.smartrecruiters.com/NileBits/744000127036999-senior-applied-ml-engineer-speech-audio-