ML Engineer
North Carolina, Texas, USA
A USD 150K-214K (estimate) Senior-level Full Time
Tasks
- Architect AI solutions for natural speech interaction
- Build ML models for audio data insights
- Build data pipelines for training and evaluation
- Collaborate on AI stack tooling and infrastructure
- Deploy model training inference and monitoring
- Design production ML systems
- Develop agents for real world audio inputs
- Improve ML infrastructure for scalability and performance
- Own model lifecycle end to end
- Work with customers to gather feedback and deliver solutions
Perks/Benefits
Skills/Tech-stack
AWS | Audio Machine Learning | Baseten | Data Pipelines | FastAPI | Feature Engineering | LLM | Language Models | Language Processing | Large Language Models | Litellm | Livekit | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | OpenAI APIs | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | S3 | Speech Processing | TensorFlow
Education
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