ML Engineer
Chicago, Illinois, United States
A USD 110K-110K (estimate) Senior-level Full Time
Tasks
- Architect AI solutions for natural speech interaction
- Build agents for real-world audio inputs
- Build data pipelines for training and evaluation
- Collaborate to improve AI stack tooling
- Deliver data ingestion preprocessing training deployment inference monitoring
- Design build deploy production ML systems
- Develop and optimize audio ML models
- Improve ML infrastructure scalability and performance
- Own model lifecycle from conception to deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | Data Pipelines | FastAPI | Feature Engineering | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | OpenAI APIs | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | TensorFlow | TypeScript
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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