ML Engineer
Illinois, Illinois, United States
A USD 150K-214K (estimate) Senior-level Full Time
Tasks
- Architect AI solutions for speech interaction
- Build ML models for audio data insights
- Build real time inference and model monitoring pipelines
- Collaborate on AI stack tooling and infrastructure
- Design production-grade ML systems
- Develop agents for real world audio inputs
- Improve ML infrastructure for scalability and performance
- Own model lifecycle from conception to deployment
- Run data acquisition preprocessing training deployment inference and monitoring
- Work with customers to gather feedback and deliver solutions
Perks/Benefits
Skills/Tech-stack
AWS | Audio Processing | Data Pipelines | Deep learning | FastAPI | Feature Engineering | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Natural Language | Natural Language Processing | OpenAI API | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | S3 | Speech Recognition | TensorFlow | TypeScript
Education
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