Senior Applied ML Engineer – Speech, Audio

🕒 May 19

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Nile Bits, LLC.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

Software Development • Outsourcing • Technology Consulting

Nile Bits is a software development outsourcing company that offers a wide range of digital solutions, including custom software development, e-commerce solutions, and web application development. Based in Egypt, the company accelerates business digital transformation by providing scalable, robust, and cost-effective services with a team of expert software engineers. Nile Bits aims to help businesses grow by delivering high-quality software solutions that meet client needs and exceed expectations.

📋 Description

• Design, fine-tune, and optimize advanced machine learning models for Arabic voice applications. • Work across the full development lifecycle, from data pipeline construction and model experimentation to inference optimization and production deployment. • 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.

🎯 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: 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

🏖️ Benefits

• All employees benefits for free (our famous games room, daily breakfast, fruits, coffee and other hot drinks, soft drinks and juices, company days out and parties…) • Social insurance • Open-door management policy • Full Medical insurance • Accommodation and Transportation Allowance • Friendly environment that values innovation and efficiency • 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