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About the role
Description: We are looking for a highly skilled AI Developer with strong expertise in Speech-to-Text (STT) systems and Neural Networks to join our growing AI team. The ideal candidate will be responsible for building and optimizing speech recognition models, improving transcription accuracy, and deploying scalable AI solutions for real-world applications. Key Responsibilities: - Design, develop, and optimize Speech-to-Text (STT) machine learning models. - Implement advanced deep learning and neural network architectures for speech recognition. - Work on data preprocessing, feature extraction, and audio dataset handling for training models. - Train, test, fine-tune, and evaluate models to enhance transcription accuracy and speed. - Collaborate with product and engineering teams to integrate AI models into applications. - Build and maintain end-to-end pipelines for speech recognition workflows. - Stay updated with the latest research and developments in AI, speech processing, and deep learning. - Ensure model performance, scalability, and reliability in production environments. Required Skills & Qualifications: - Bachelors / Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - 7+ years of overall development experience. - 4+ years of hands-on AI development experience (Mandatory). - Strong proficiency in Python (preferred) or Java/R. - Solid understanding of Neural Networks, Deep Learning, CNN, RNN, LSTM, Transformers. - Hands-on experience in Speech Recognition / Audio Processing / NLP. - Strong knowledge of model evaluation metrics such as WER (Word Error Rate) and accuracy tuning. - Ability to work with large-scale datasets and build training pipelines. - Strong analytical thinking and problem-solving ability. Description: We are looking for a highly skilled AI Developer with strong expertise in Speech-to-Text (STT) systems and Neural Networks to join our growing AI team. The ideal candidate will be responsible for building and optimizing speech recognition models, improving transcription accuracy, and deploying scalable AI solutions for real-world applications. Key Responsibilities: - Design, develop, and optimize Speech-to-Text (STT) machine learning models. - Implement advanced deep learning and neural network architectures for speech recognition. - Work on data preprocessing, feature extraction, and audio dataset handling for training models. - Train, test, fine-tune, and evaluate models to enhance transcription accuracy and speed. - Collaborate with product and engineering teams to integrate AI models into applications. - Build and maintain end-to-end pipelines for speech recognition workflows. - Stay updated with the latest research and developments in AI, speech processing, and deep learning. - Ensure model performance, scalability, and reliability in production environments. Required Skills & Qualifications: - Bachelors / Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - 7+ years of overall development experience. - 4+ years of hands-on AI development experience (Mandatory). - Strong proficiency in Python (preferred) or Java/R. - Solid understanding of Neural Networks, Deep Learning, CNN, RNN, LSTM, Transformers. - Hands-on experience in Speech Recognition / Audio Processing / NLP. - Strong knowledge of model evaluation metrics such as WER (Word Error Rate) and accuracy tuning. - Ability to work with large-scale datasets and build training pipelines. - Strong analytical thinking and problem-solving ability.