AI Engineer (Speech & NLP Systems)
Tasks
- Build intent and slot models
- Collaborate with QA and Platform teams
- Curate datasets for model training
- Define speech and NLP evaluation strategies
- Develop speech and NLP pipelines
- Improve model robustness across noise and accents
- Integrate ASR and NLU components
- Optimize models for latency constraints
- Optimize models for resource constrained environments
Perks/Benefits
- Career path management
- Fairness and Equity Salary Structure
- Tech Startup Environment
- Training and certification
Skills/Tech-stack
Automatic Speech Recognition | Dataset curation | Deep learning | Edge AI | Embedded Machine Learning | Intent detection | Language Processing | Language Understanding | Latency optimization | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Natural Language Understanding | Python | Slot Filling | Speech Recognition
Education
N/A
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