Evolvice is a nearshore technology services provider that helps businesses scale, innovate, and enhance efficiency. Since 2012, we’ve been developing software solutions and building high-performing remote teams. Today, we focus on integrating AI into business processes and providing IT and security support to drive digital transformation. 

Originally based in Germany, we have established development hubs in Egypt, Ukraine, and Portugal, as well as offices in Saudi Arabia. This international presence enables us to deliver high-quality, cost-effective solutions worldwide.  

Our Services:

• Nearshore Teams – Build and scale remote teams of any size with expert engineers. 
• AI-Powered Business Productivity – Leverage AI-driven software solutions to boost efficiency. 
• Cybersecurity – Safeguard your business with advanced security assessments and services. 
• Managed IT & Application Support – Ensure seamless operations with proactive IT management and support. 

We’re proud to work with industry leaders like Bosch, Douglas, WTS, DHL, Tatweer and GOSI, and many others. Combining German precision with nearshore agility, we provide secure, scalable, and cost-effective IT solutions tailored to your business needs. 

Currently, we are searching for a Senior Applied ML Engineer (Speech & Audio) to join the big team of professionals.

Project – AI Voice Infrastructure - development of state-of-the-art Arabic speech technology, including natural speech synthesis (TTS), real-time automatic speech recognition (ASR), and end-to-end speech-to-speech conversational systems tailored for regional dialects (Gulf, Levantine, Egyptian, etc.).

Languages: English B1+, Arabic.

Engagement: Full-time, 8-12 months, start in 3-4 weeks

Requirements:

• 5+ years of experience in Machine Learning or AI Research
• Strong proficiency in Python, PyTorch, and the HuggingFace ecosystem
• Hands-on experience training/fine-tuning neural models (TTS, ASR, or Audio Codecs)
• Deep understanding of speech architectures (Whisper, Conformer, HiFi-GAN, or Diffusion)
• Experience with audio-specific processing (VAD, Diarization, Neural Vocoders)
• Proven ability to translate research papers into production-ready experiments
• Knowledge of Arabic NLP challenges (Tashkil/diacritization, dialect variations)
• Experience with inference optimization (quantization, streaming, or TensorRT)

Nice to have:

• Arabic language proficiency
• Experience with high-performance CUDA kernels or speculative decoding

List of Duties:

• Benchmark TTS and ASR models on Arabic test sets (WER, naturalness, dialect coverage)
• Fine-tune generative architectures for voice cloning and zero-shot speaker adaptation
• Build and maintain Arabic-specific data pipelines (audio sourcing, diacritization)
• Optimize inference for production (quantization, KV cache tuning) to ensure low latency
• Integrate and evaluate full-stack speech-to-speech pipelines

We offer:

• Financial stability;
• Friendly team and a comfortable working environment;
• Flexible schedule (8 —10 AM start) with the possibility to work assigned hours and/or adjust work schedule as requested by the manager;

Why Work With Us:

We work as a self-driven team without complex management structures. Our teams make independent decisions without recommendations from the client. We nurture an open, transparent environment where we all enjoy our work.