Expand AILs voice technology and features to include advanced research and projects in Wake word detection, Automatic Speech Recognition (ASR), including Acoustic and Language Modeling, and personalization. Also work on language and gender detection using speech signals, Speaker identification, verification and diarization techniques.
Requirements
- Experience with Tensorflow or Pytorch or similar frameworks
- Worked on advance architectures such as transformers, conformer and other advanced models for ASR systems
- Working experience on ASR in large scale production systems
- Experience in modeling ML algorithms on GPUs at scale
- Experience with multi-lingual speech, low resource speech research and architectures
- Working experience on deploying recognition engines on both server and edge devices
- Experience with Acoustic modeling, noise and ambient modeling, and its effects on ASR
Responsibilities
- Architect and design end to end Automatic Speech Recognition products, applications and solutions for specific business needs and provide implementation guidance during delivery
- Leverage, customize and implement ASR models, algorithms, and methodologies to improve the overall quality ASR in various applications and systems
- Analyze and evaluate the performance ASR systems and provide design recommendations
- Analyze and make right technological choices for generative ai solutions
- Design and prototype reusable components for LLM based solutions for ASR
- Architect components of an ASR solution to address Responsible AI & Security
- Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency
Other
- MS or Ph.D. in Computer Science or Digital Signal Processing or equivalent combination of education, training, and experience
- 7+ years of relevant professional experience in Machine Learning or relevant field
- Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders
- Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development
- Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy
- Ability to develop project plans and experience to execute them
- Research expertise in ML and written research publications
