We're seeking a passionate Mid-Level SW Engineer to join the Revenue Optimization ML team, combining infrastructure expertise with applied MLOps knowledge.
Requirements
- Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.
- Build and maintain efficient data pipelines for large-scale processing and feature engineering.
- Optimize compute resources and improve model serving performance across ML systems.
- Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops practices including CI/CD pipelines.
- Collaborate closely with Data scientists to streamline the model development-to-production workflow.
- Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders.
Benefits
- Chance to join an organization with triple-digit growth
- Opportunity to form part of an amazing, multicultural community of tech experts
- Highly competitive compensation package
- Medical insurance