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Senior Applied ML Engineer (Speech & Audio)

  • Full Time
  • Anywhere

Nile Bits

Join a cutting-edge initiative focused on building advanced AI voice infrastructure for Arabic-speaking markets. As a Senior Applied Machine Learning Engineer, you will design, fine-tune, and optimize advanced machine learning models for Arabic voice applications, working across the full development lifecycle, from data pipeline construction and model experimentation to inference optimization and production deployment.

Requirements

  • 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 TTS, ASR, and audio codecs
  • Experience with inference optimization techniques such as Quantization and Streaming inference

Benefits

  • All employees benefits for free
  • Social insurance
  • Open-door management policy
  • Full Medical insurance
  • Accommodation and Transportation Allowance
  • Exciting opportunities for career growth and talent development
  • Feedback encouragement
  • Recognition and reward programs
  • Competitive salaries and incentives
  • Friendly environment
  • Flexible and Comfortable schedule
  • Fun committees
  • Monetary rewards
  • Fun, smart and creative people
  • Career possibilities with growing team
  • Paid vacations
  • Social benefits

Originally posted on Himalayas

To apply for this job please visit himalayas.app.

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