Job Description

We're seeking a passionate Mid-Level SW Engineer to join the Revenue Optimization ML team.
This high-impact role combines infrastructure expertise with applied MLOps knowledge, requiring
proficiency in software engineering, distributed systems, and machine learning operations.

Key Responsibilities

  • 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 ...

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