Role Overview: We are hiring for one of our clients, seeking an Audio Expert to develop and optimize audio processing models for speech recognition and sound analysis applications.
Key Responsibilities: • Design, implement, and refine audio processing algorithms to enhance speech clarity and accuracy in real-world environments. • Collaborate with cross-functional teams to integrate audio models into production systems while ensuring scalability and performance. • Conduct rigorous testing and validation of audio models using real-world datasets to identify and resolve edge cases. • Optimize audio processing pipelines for latency and computational efficiency without compromising output quality. • Document technical specifications, model architectures, and evaluation methodologies for team review and future reference.
Required Skills & Qualifications: • Proficiency in Python and experience with audio processing libraries such as Librosa, PyAudio, or TensorFlow Audio. • Hands-on experience with speech recognition frameworks, including Whisper, DeepSpeech, or Kaldi.
• Strong background in signal processing, including filtering, noise reduction, and feature extraction. • Familiarity with machine learning models for audio classification, transcription, or enhancement. • Experience working with large-scale audio datasets and cloud-based ML platforms like AWS SageMaker or Google Vertex AI. • Ability to troubleshoot and debug audio-specific issues in both model training and inference pipelines. • Robust problem-solving skills with a focus on practical, real-world applications of audio technology.
More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to advancements in automated speech processing and audio intelligence.
Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.