Machine Learning Engineer

Job Summary

We are seeking a highly skilled and motivated ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) Engineer to join our innovative team. The successful candidate will be responsible for developing, optimizing, and deploying state-of-the-art ASR and TTS systems, contributing to our cutting-edge speech technology solutions. This role requires a deep understanding of speech processing, machine learning, and software development.

Responsibility

• Design, develop, and optimize ASR and TTS models and algorithms.
• Implement and improve speech recognition and synthesis systems using deep learning frameworks.
• Collaborate with cross-functional teams to integrate ASR and TTS solutions into various applications and platforms.
• Conduct research and stay updated on the latest advancements in speech-processing technologies.
• Evaluate and benchmark the performance of ASR and TTS systems, ensuring high accuracy and efficiency.
• Troubleshoot and resolve issues related to speech processing systems and improve their robustness.
• Maintain and enhance existing speech processing models and pipelines.
• Contribute to the development of documentation, guidelines, and best practices for ASR and TTS systems.

Requirements

• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on speech processing or machine learning.
• Proven experience in developing and deploying ASR and TTS systems.
• Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Proficiency in Python programming languages.
• Experience with signal processing, feature extraction, and speech recognition techniques.
• Familiarity with deep learning architectures, including RNN, CNN, Transformer models, etc.
• Ability to work effectively in a collaborative and fast-paced environment.
• Excellent problem-solving skills and attention to detail.
• Strong written and verbal communication skills.

Nice-to-Haves

• Experience with large-scale speech data collection and annotation.
• Knowledge of cloud-based services and tools for ASR and TTS deployment.
• Publications or contributions to the speech processing research community.
• Experience with end-to-end speech processing pipelines and real-time processing systems.

Benefits : Will be Discussed further.