ML Lead - Python

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.