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We’re a very young startup founded by two co-founders, building advanced speech AI solutions. Our goal is to train and deploy highly accurate, production-ready models optimized for real-world phone and conversation data in Turkish.

We’re looking for a Deep Learning Engineer with hands-on expertise in speech models. This is not a full-time role, but rather a project-based collaboration that can evolve into something bigger as we grow.

You’ll be responsible for:

• Fine-tuning and training STT models (e.g., Whisper, NeMo).
• Designing, implementing, and optimizing deep learning architectures for speech tasks.
• Conducting large-scale data preprocessing, augmentation, and evaluation.
• Training and deploying models on GPU infrastructure.
• Iterating to improve real-world accuracy and latency.
• Collaborating with our small team to bring models into production environments.

• Experience training speech models (STT is a priority, TTS is a plus).
• Solid understanding of the end-to-end ML/DL pipeline: data → training → deployment → scaling.
• Proficiency in PyTorch (preferred).
• Strong programming skills in Python.
• Familiarity with distributed training on GPUs.
• Up-to-date with the latest research in deep learning and speech technologies.
• English fluency required (and ideally Turkish speaker).

• Freelance / contract flexibility.
• Opportunity to contribute to cutting-edge speech AI at an early stage.
• Potential for long-term collaboration as we scale.
• Work directly with the co-founders on exciting, high-impact projects.

👉 If this sounds interesting, apply here: https://n8n.heycalli.com/form/deep-learning