About this role
As a Senior ML Engineer, you will take ownership of an existing machine learning solution and develop new models for product recommendations. You will build and maintain robust training and inference pipelines using Azure Machine Learning, focusing on MLOps best practices for seamless production deployment and monitoring. This role involves close collaboration with technical teams and business stakeholders to ensure reliable delivery of ML-driven insights.
What we are looking for 6
- Develop and productionize ML models for product recommendations
- Build and maintain training/inference pipelines with Azure ML
- Implement MLOps practices including model versioning and monitoring
- Integrate ML outputs with data warehouses and reporting tools
- Take ownership of existing ML codebase and drive continuous improvement
- Collaborate with cross-functional teams for production rollout