Position Overview: We are looking for a talented Data Scientist with a specific skill set in fine-tuning Arabic Text to Speech models. This role is central to our mission of delivering high-quality, naturalistic Arabic speech synthesis using cutting-edge AI technologies.
- Specialize in developing and fine-tuning Arabic Text to Speech models, ensuring natural and cultural accuracy.
- Adapt open-source Large Language Models for specific applications in the Arabic language context.
- Perform comprehensive data analysis and rigorous testing to enhance model performance.
- Collaborate with our diverse team to integrate these models seamlessly into our products.
- Stay abreast of the latest AI research, particularly in open-source LLM, speech synthesis, and Arabic language processing.
- Contribute to the entire lifecycle of model development, from initial research to deployment and ongoing optimization.
What We Offer:
- An opportunity to be at the cutting edge of Arabic AI technologies.
- Competitive salary and benefits package.
- A diverse, inclusive, and collaborative work culture.
- Professional growth in a rapidly advancing field.
Initially this role will be delivered remotely, however you must be willing to travel to Riyadh and/or Dubai for extended periods if required, and capable of working 40 hours per week, 9am-5pm GST.
- Advanced degree in Computer Science, AI, Machine Learning, or a related field, with a focus on NLP or Speech Processing.
- At least 2 years of experience with text-to-speech model.
- Proven experience in Arabic Natural Language Processing and Text to Speech technologies.
- Expertise in Python and AI/ML frameworks (PyTorch, LangChain, etc.).
- Strong background in data processing, model training, and fine-tuning, particularly with Arabic datasets.
- Excellent problem-solving skills and adaptability in a fast-paced, innovative environment.