Key Responsibilities
- Design and develop voice AI models for natural language understanding and speech recognition
- Optimize algorithms for real-time voice processing and low-latency inference
- Collaborate with cross-functional teams to integrate voice AI into products
- Research and implement state-of-the-art techniques in speech technology
- Benchmark and improve model accuracy and performance
- Document technical specifications and maintain code quality
Requirements
- 5+ years in AI/ML with focus on speech or NLP
- Proficiency in Python and deep learning frameworks (TensorFlow/PyTorch)
- Experience with speech recognition, TTS, or voice assistant technologies
- Strong background in signal processing and acoustic modeling
- Familiarity with cloud platforms (AWS/GCP) and MLOps tools