Senior ML Engineer - Offline Team
Tasks
- Build and maintain data and ML pipelines
- Collaborate on scalability and reliability with infrastructure teams
- Enable Data Scientists with reusable pipeline components
- Ensure online offline consistency
- Extend datasets with new data sources
- Implement deep learning training loops
- Lead end-to-end ML projects
- Maintain ML lifecycle reproducibility
- Migrate CI/CD pipelines
- Optimize training pipelines performance and cost
- Orchestrate GPU workloads
- Track experiments and version configs
- Triage and resolve alerts from Airflow and dbt
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon Web Services | Apache Spark | Batch inference | DBT | Experiment tracking | Feature Engineering | Hyperparameter Tuning | Kubernetes | LightGBM | MLflow | Model Deployment | Model Serving | Prometheus | PyTorch | Python | Real Time | Real-time Inference | Scikit-learn | Terraform | Training-serving skew | Web Services
Education
N/A
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