About The ProjectWe are developing a fine-tuning automation platform for an AI team, streamlining model adaptation, data collection, and evaluation. The PoC phase focuses on fine-tuning OpenAI’s Whisper model for Arabic transcription, validating performance improvements, and ensuring on-premises deployment feasibility.Phase: Proof of ConceptEngagement: Short-Term (1.5 months, with potential extension)ResponsibilitiesModel Fine-Tuning;Data Collection & Preprocessing;Model Evaluation & Benchmarkin
About The ProjectWe are developing a fine-tuning automation platform for an AI team, streamlining model adaptation, data collection, and evaluation. The PoC phase focuses on fine-tuning OpenAI’s Whisper model for Arabic transcription, validating performance improvements, and ensuring on-premises deployment feasibility.Phase: Proof of ConceptEngagement: Short-Term (1.5 months, with potential extension)ResponsibilitiesModel Fine-Tuning;Data Collection & Preprocessing;Model Evaluation & Benchmarking;Deployment & Infrastructure.Requirements 4+ years of commercial experience;Proficiency in Python, PyTorch, and Hugging Face Transformers; Good understanding of LoRA/QLoRA fine-tuning techniques (Preferably hands-on expertise); Strong background in data preprocessing and augmentation (preferably for speech recognition); Ability to work independently within a short PoC timeframe;Upper-Intermediate level of English and higher.Nice To HaveExperience in Speech-to-Text (STT) models (preferably Whisper or similar); Experience with WER, CER, and BLEU score evaluations; Familiarity with Gradio, NeptunAI, and on-premises ML deployments; Prior experience in automating fine-tuning pipelines; Familiarity with distributed training and optimization techniques.Our BenefitsProfessional and career growth promotion;Competitive salary;Flexible working hours;Regular technical training at our office.
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Посадовий рівень
Старший середній рівень
Тип зайнятості
Повний робочий день
Посадові обов’язки
Інженерія і Інформаційні технології
Галузі
Розробка програмного забезпечення