Job ID: 865609

6 - 8 Years

1 Opening

Waluj

Role description

Role Purpose: Key Accountabilities: Preferred Experience and Qualification:

Skills

- Experience in designing AI applications and knowledge of machine learning frameworks like TensorFlow or PyTorch

- Proven ability to lead and manage AIML projects with cross-functional teams

- Strong communication skills to effectively collaborate with various stakeholders

- Critical thinking and problem-solving skills are essential

- Experience with ethical AI practices and ensuring compliance with data protection regulations

- Tinkering mindset, ability to find solutions in complex situations to satisfy business needs, ability to think on your feet.

- Excellent problem-solving, analytical, and communication skills

- Rigorous understanding of the fundamentals of Statistics, Classical Machine Learning and Deep Learning

- Experience with data tools and data pipelines

- Experience working on both local machines or cloud platforms, preferably GCP

- Experience putting models into production

- Exposure to computer vision libraries such as OpenCV, TorchVision, or similar for feature extraction and signal visualization.

- Understanding of signal processing techniques and transforming 1D time-series into image-like representations.

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 productive 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.

About STL and STL Digital

About STL - STL is a leading global optical and digital solutions company providing advanced offerings to build 5G, Rural, FTTx, Enterprise and Data Centre networks. About STL Digital - STL Digital, a wholly owned subsidiary of STL, is a global IT services and consulting company dedicated to delivering exceptional digital transformation experiences for enterprises with a comprehensive portfolio of services, including product engineering, cloud and cyber security, data and AI, and enterprise SaaS.

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