Validate workflows and outputs, improve accuracy, reliability and efficiency based on user feedback, and maintain practical workflow documentation and user guides.
Integrate agent workflows with FAM 2.0 data and analytics components, including Redshift, Glue and PySpark, and build and maintain the data preparation and feature-engineering processes needed for AI and ML workloads
To extract information from 3D Revit and develop the shop-drawings and resolve discrepancies in the drawings with Engineering Department & Project Team.
Safety & Risk Assessment: Identify and mitigate safety hazards during the DfMA design stage by evaluating module lifting, transport, and installation risks.
Build and optimize end-to-end machine learning pipelines, handling large-scale datasets, noisy labels, model training, evaluation and deployment, while improving model accuracy, robustness and inference efficiency.
Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
Data & Analytics Integration: Integrate agent workflows with FAM 2.0 data and analytics components, including Redshift, Glue and PySpark. Build and maintain data preparation and feature-engineering processes required to support AI and ML workloads.