Machine Learning Engineer
Tasks
- Automate processes and reduce tech debt in ML stack
- Build and maintain scalable ML pipelines and infrastructure
- Drive model inference latency tuning monitoring and logging
- Evaluate and integrate emerging models to improve accuracy
- Own the full ML lifecycle for product features
- Use models to solve core user and business problems
- Work cross-functionally to ship ML-powered features
Perks/Benefits
- AI-first engineering culture
- Autonomy and ownership
- Benefits
- Competitive salary
- Equity
- Impactful customer-facing features
Skills/Tech-stack
AWS | LLMs | ML pipelines | MLOps | Machine Learning | Model Deployment | Model Monitoring | Python
Education
Regions
Countries
States
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