Senior Applied ML Engineer - ML4Sys
Tasks
- Architect train and deploy ML models
- Build ML pipelines and data processing layers
- Define applied ML roadmap
- Design ML systems end to end
- Develop model serving and production monitoring
- Optimize serverless compute scaling
- Research and implement modeling techniques for distributed systems
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Computer Architecture | Data Processing | Database Internals | Decision Processes | Distributed Systems | Forecasting | Java | Machine Learning | Markov Decision Processes | Model Serving | Operations Research | Optimization Algorithms | Production Monitoring | Python | Scala
Education
Regions
Countries
States
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