Driven by innovation, design, plan and implement Data & (Gen)AI architectures including the associated roadmaps, where you work together with Enterprise Architects and Senior Management up to C-Level on the customer side
Design and set up experiments for collecting, labeling analyzing data of different kinds of events from fiber based sensor solutions
Assess the effectiveness and accuracy of data sources and data gathering techniques
Develop automation methods for faster labeling of collected data
Create architectural approaches for AI software and hardware integration
Define AI solution objectives and ensure alignment with business outcomes
Implement best practices for AI testing, deployment, and maintenance
Develop Machine Learning and Deep Learning methods for event detection and classification
Develop efficient frameworks for training and evaluating the event detection/classification models
Track the innovations in AI/ML technologies and algorithms/processing/ computation and its implementation to develop next generation fiber sensing solution
Review and Optimize existing code/algorithm
Create systematic plans to run the experiments to fine-tune the event detection/classification models
Plan the tasks and provide estimates and timelines
Support marketing/sales team with application notes, white papers and presentations
Contribute to simulation model development and data analysis of various sensor solutions
Design, Develop and optimize CNN-based models for event detection and classification using spectrograms and other signal-derived image formats.
Apply computer vision techniques to identify spatial and temporal patterns in DAS data visualizations.
Use deep learning architectures (e.g., CNN, RNN, LSTM) to model sequential and spatial aspects.
