Machine Learning / Data Science Lead Spare-it

As an ML / Data Science Engineer, you will manage and enhance the automated AWS pipeline that processes data from our sensors and mobile applications. Your work will be critical in extracting insights and guiding our customers’ sustainability strategies. Currently, our technology is deployed in three regions, collecting live data from thousands of monitored stations.

Key responsibilities include:

• Data Engineering: Maintain and evolve the AWS-based pipeline infrastructure (Glue, Athena, SageMaker) for analyzing live sensor and image data.

• Data Analytics: Use the infrastructure to track waste generation, detect anomalies, assess interventions, and visualize waste metrics across various levels.

• Computer Vision: Improve our AI model for automated waste identification

• Standardization: Propose methods to standardize data across customers for comparison and benchmarking.

• Model Development: Explore ML models to predict the impact of specific waste management initiatives.

• Visualization: Create interactive data visualizations to support customer decision-making processes.