ML Engineer
Connecticut, Connecticut, United States
A USD 150K-214K (estimate) Senior-level Full Time
Tasks
- Architect AI powered natural speech interaction solutions
- Build and optimize audio machine learning models
- Build data acquisition preprocessing training inference monitoring pipelines
- Collaborate on AI stack tooling and LLM audio applications
- Deploy and monitor models in production environments
- Design production-grade machine learning systems
- Develop agents for real world audio inputs
- Improve ML infrastructure scalability and performance
- Own model lifecycle from conception to deployment
- Work with customers to gather requirements and feedback
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Audio Data | Baseten | CI/CD | Data Pipelines | FastAPI | Feature Engineering | LLM | Language Processing | Litellm | Livekit | Machine Learning | Model Evaluation | Model Monitoring | 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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