AI Engineer (Speech & NLP Systems)
Tasks
- Build natural language processing pipelines
- Build speech recognition pipelines
- Collaborate with QA and Platform teams
- Define model evaluation methodologies
- Deploy production-ready AI solutions
- Develop ASR models
- Develop NLU models
- Develop intent and slot detection models
- Improve model robustness to noise and accents
- Optimize model latency and resource usage
- Prepare and curate datasets
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Dataset curation | Deployment | Edge AI | Embedded Machine Learning | Intent detection | Language Processing | Latency optimization | Machine Learning | Model Evaluation | Model Optimization | Multilingual NLP | NLU | Natural Language | Natural Language Processing | Python | Resource Optimization | Slot Filling | Speech Recognition
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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