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Working student in the area of machine learning
vor 4 Monaten
TOGETHER FOR THE SAFEEST SOLUTION. As a technology and innovation partner in defense and public safety, we develop and integrate solutions that build trust. We are the experts when it comes to integrating individual structures and components into an overall system. The knowledge and passion of our teams lies in all steps - from development to implementation and operation of complex systems.
Tasks:
Selection of topics that can be developed as part of a working student activity or a thesis:
1. Evaluation of the machine learning features store FEAST in the context of event-related game history data.
a. Evaluation and introduction of FEAST:
b. Integration of FEAST into the existing data collection and processing process
c. Assessment of the suitability of FEAST for event-related game history data
2. Conceptualization and prototypical implementation of processes to ensure feature data processing steps in the training, evaluation and use (inference) of ML models
a. Evaluation of existing approaches and tools for process support
b. Development of appropriate processes
c. Concept for integrating the processes into an existing ML platform
d. Prototypical implementation and testing of the processes
3. Research and evaluation of open source tools to support and implement data governance in platforms for data-based software solutions
a. Classification, delimitation of data governance
b. Systematic literature research on tools in this environment
c. Classification of tools (including scope of functions in the context of data governance)
4. Research and evaluation of ML approaches for situation assessment and course of action in both civil and military environments
a. Systematic literature search
b. Classification of approaches
c. Technological classification of the approaches
5. Evaluation of various API gateways and their use
a. Differentiation from the service mesh
b. Use in different environments (Docker, standalone, Kubernetes, ...)
c. Comparison of the functional scope of individual products (e.g. Apache APISIX, Kong, etc.)
d. Analyzing open source vs. commercial and developing a position paper
Profile:
- Computer science students
- Knowledge of German and English
- Analytical thinking skills and a structured way of working
- Ability to work in a team and discuss
- Take initiative to develop and implement your own ideas and solutions
- Willingness to learn
Why it's worth joining ESG:
- Benefit from trusting customer relationships, an enormous wealth of project experience and the decades-long success story of our technology company
- We offer you a familiar and supportive environment in which your ideas are welcome and recognized
- You work in interdisciplinary teams
- We enable constant personal growth through a variety of tailor-made training courses
- Generous working hours with a lot of flexibility, e.g. , flextime account and the possibility of part-time work
- Attractive remuneration with secure and long-term prospects
- Mobility and sustainability, e.g. job bike, job ticket, e-charging stations
- Health and prevention , e.g. company sports groups, height-adjustable tables
- Support for families, e.g. family service and child holiday care
- Collegial and open cooperation
- You can find further benefits here:
We promote diversity and equal opportunities and look forward to receiving diverse applications.
We look forward to receiving your meaningful application. Please upload this using our online application form in the area . Filling out the form only takes 3 minutes. If there is a fundamental fit, we will have a personal conversation.
Kathleen Fuhrman
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