Description

Responsibilities:

Collaborate with stakeholders including process, equipment and automation teams to assist data-driven process improvement by implementation of supportive AI models

Work with process development specialists to identify relevant applications, needs and limits for AI models

Support and if needed build the infrastructure required for optimal extraction, transformation and loading of data from corresponding data sources

Ensure easy and world wide usability of implemeted AI models by HMIs or WebApps.

Execute and support process planning, preparation and analysis of DOE'S

Implement scalable pipeline to transform e.g. quality values, process parameters, etc. and make them accessable for processing in the AI models (data pipeline architecture)

Support all sampling activities, review and analyse sampling reports

Implement cloud-based solutions for scalability and implement unit, integration, and regression testing with log files

Ensure data quality for targeted development processes and data usage

Act as the bridge between Manufacturing technology and Simulation/Automation/Digitalisation teams

Identification of new trends and their evaluation for usage within Process Development

Discussion and creation of new features in AI models to enhance their ability/accuracy

Implementation of of new features into AI models or adaption of code to new usecases e.g. Implementing Monitoring pipeline, continuous integration, and continuous testing pipeline for selected problems (to improve the accuracy with time).

Looking for new opportunities to leverage production or quality data in AI models to optimize manufacturing efficiency and derive product improvements

Experience:

University Degree in Computer Science and Engineering, Autonomous Systems / AI area or similar

Knowledge in programming languages, MLOps, development and deployment of applications

Experience in implementation of AI models, pipelines and experiences in Graph CNNs is a plus

Understanding of plastics manufacturing processes and automation in an automotive environment is prefered

Primary language of location and English language skills are required

Willingness to travel

Competencies:

Dealing with Ambiguity

Compassion & Interpesonal Savvy

Self Development & Learning on the Fly

Priority Setting & Organizing

Drive for Results

Conflict Management

Action orientated

Customer focus & Business Acumen

Integrity and Trust & Planning

Personal Learning & Functional-technical skills

Qualifications

University Degree in Computer Science and Engineering, Autonomous Systems / AI area or similar