Principal Machine Learning & Data Engineer
Tasks
- Architect end to end machine learning and real time data platforms
- Build low latency model serving layers
- Collaborate with product security and compliance for privacy and governance
- Design scalable feature stores and batch and streaming pipelines
- Drive experimentation data driven decision making and continuous improvement
- Implement MLOps best practices for automated testing and CI CD and monitoring and rollback
- Lead cross functional engineering initiatives and roadmap planning
- Mentor staff engineers through code reviews and pair programming
- Perform system design reviews threat modeling and performance tuning
Perks/Benefits
- 401k
- Healthcare
- Paid parental leave
- Paid sick time
- Paid time off
- Remote-first work
- Retirement savings program
- Wellness leave
Skills/Tech-stack
A/B | A/B Testing | AWS | Autoscaling | B testing | C++ | CI/CD | Data Drift | Data Drift Detection | Drift Detection | EKS | Feature Engineering | Flink | Go | Java | Kafka | Kinesis | Kubeflow | Kubernetes | MLflow | Model Monitoring | Monitoring | NoSQL | Offline Online Parity | Python | Retraining | Rollback | SQL | SageMaker | Scala | Service Mesh | Spark | Terraform | Threat modeling | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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