ML Engineer
Tasks
- Analyze conversation logs and improve models
- Build MLops pipelines
- Collaborate with business IT and client teams
- Deploy models with CI/CD
- Design conversational architectures
- Gather and formalize business requirements
- Integrate ASR and TTS into conversation pipeline
- Monitor model quality and drift
- Optimize prompts and conversational flows
- Train adapt and evaluate NLP models
Perks/Benefits
Skills/Tech-stack
ASR | CI/CD | Generative AI | Language Processing | MLOps | Machine Learning | Model Drift | Monitoring | NLP | Natural Language | Natural Language Processing | Prompt engineering | TTS
Education
N/A
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