DataDriven Adaptation Engineer
Job Location:
Monthly Salary:
Posted on:
19 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Responsibilities
Algorithm & Software Adaptation
Configure and adapt GD-developed algorithms for BPS systems to meet customer
currency specifications.
Analyze banknote data (sensor data images measured features) to create customer-
specific adaptation profiles.
Validate algorithm performance through testing simulation and statistical evaluation.
Identify optimization opportunities along every step of the adaptation process.
Data Analysis & Statistical Evaluation
Use Python for exploratory data analysis automation tasks and algorithm evaluation.
Develops/implements systems to perform basic evaluation of adaptation artifacts
according to state-of-the-art quality standards:
Documentation
Version control
Build system
Code quality
Apply statistical methods to improve adaptation quality.
Build and optimize data pipelines and notebooks in Databricks to analyze large volumes
of banknote data.
Identify patterns anomalies and insights to support continuous improvement.
Collaboration & Documentation
Collaborate with algorithm development product management customer service and
field engineers.
Communicates with colleagues inside the Adaptation group to leverage optimization
and automation opportunities.
Prepare documentation reports and presentations for internal and customer-facing
workshops.
Support complex customer adaptation projects worldwide.
Identify own personal and professional development needs.
Algorithm & Software Adaptation
Configure and adapt GD-developed algorithms for BPS systems to meet customer
currency specifications.
Analyze banknote data (sensor data images measured features) to create customer-
specific adaptation profiles.
Validate algorithm performance through testing simulation and statistical evaluation.
Identify optimization opportunities along every step of the adaptation process.
Data Analysis & Statistical Evaluation
Use Python for exploratory data analysis automation tasks and algorithm evaluation.
Develops/implements systems to perform basic evaluation of adaptation artifacts
according to state-of-the-art quality standards:
Documentation
Version control
Build system
Code quality
Apply statistical methods to improve adaptation quality.
Build and optimize data pipelines and notebooks in Databricks to analyze large volumes
of banknote data.
Identify patterns anomalies and insights to support continuous improvement.
Collaboration & Documentation
Collaborate with algorithm development product management customer service and
field engineers.
Communicates with colleagues inside the Adaptation group to leverage optimization
and automation opportunities.
Prepare documentation reports and presentations for internal and customer-facing
workshops.
Support complex customer adaptation projects worldwide.
Identify own personal and professional development needs.
Your Profile
Required Qualifications
Degree in Computer Science Electrical Engineering Mathematics Data Science Physics
or related field.
Solid foundation in statistics data analysis and analytical problem-solving.
Hands-on experience with Python (pandas numpy matplotlib Jupyter).
Experience working with Databricks PySpark or similar data platforms.
In-depth understanding of state-of-the-art software development practices (linting
code style version control systems).
Ability to understand and work with algorithms and signal/data processing workflows.
Very good English skills; German is a plus.
