Machine Learning Platform Engineer
Tasks
- Automate model retraining pipelines
- Build feature store for model training
- Deploy low latency real time inference services
- Design machine learning infrastructure
- Implement MLOps pipelines
- Manage training and experimentation platforms
- Monitor models and detect data drift
- Set up CI CD for machine learning
Perks/Benefits
- 401k match
- Annual performance reviews
- Company equipment provided
- Disability benefits
- Flexible PTO
- Health, dental & vision plans
- Paid leave
- Paid parental leave
- Workplace flexibility
Skills/Tech-stack
AWS SageMaker | C++ | CI/CD | Data Drift | Docker | Elasticsearch | Feature Engineering | Feature Store | Flink | Go | Google Vertex | Google Vertex AI | Graph Database | Incident Response | Kafka | Kubernetes | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Model Deployment | Model Monitoring | Observability | PubSub | Python | Real Time | Real-time Inference | Redis | Rust | Streaming Architecture | Vector Database | Vertex AI
Education
N/A
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