Role Description
Role Purpose: Key Accountabilities: Preferred Experience and Qualification:
Other Details
- 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.
