Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle SAP) in a secure and resilient private public or hybrid cloud. With strong technical and functional consulting services and world-class monitoring and automation Syntax serves some of North Americas largest corporations across a diverse range of industries. Syntax has offices worldwide and partners with Oracle SAP AWS Microsoft IBM and other global technology leaders.
These exciting tasts await you:
- Development and implementation of Generative AI use cases to support governance for model-based systems engineering
- Adaptation and utilization of existing software solutions in the field of Generative AI
- Supporting colleagues in governance for model-based systems engineering
- Taking minutes and documenting key decision-making meetings as well as preparing and following up on the content
- Analysis of the applicability and end-to-end consistency of existing toolchains and processes with regard to Generative AI
- Interviewing relevant stakeholders and detailing the existing systems engineering processes (current state and target state) in a process tool (Signavio)
- Gaining insights into requirements and systems engineering including related processes and tools and actively contributing to their sustainability
Your profile:
- Degree program in engineering sciences systems engineering electrical or information engineering business informatics or a related field
- Strong knowledge and ideally practical experience in the field of Generative AI
- Knowledge of programming languages such as Python and related technologies to enable software customization
- Good organizational skills ability to work independently and enjoyment of interacting with colleagues
- Experience in project coordination and organization
- Strong analytical skills
- Proficiency in Microsoft Office
- Ideally knowledge of process modeling methods and initial experience with corresponding tools
- Excellent German and English language skills both written and spoken
Why Syntax
- Flexible working hours - tailored to your studies
- International multilingual team with flat hierarchies that is open to innovation and new ideas
- Outlook and development towards a permanent position possible
- Work in a company with exciting innovation projects that are causing a stir across the industry
You have the chance of an exciting and interesting working student job. You will work in a hands-on environment and get to know the day-to-day business and the diverse tasks of the Manufactoring Advisory & Innovartion team with comprehensive support. Seize the opportunity and send us your documents. Isabel Baizan Ruiz will be happy to answer any questions you may have.
Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle SAP) in a secure and resilient priva...
Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle SAP) in a secure and resilient private public or hybrid cloud. With strong technical and functional consulting services and world-class monitoring and automation Syntax serves some of North Americas largest corporations across a diverse range of industries. Syntax has offices worldwide and partners with Oracle SAP AWS Microsoft IBM and other global technology leaders.
These exciting tasts await you:
- Development and implementation of Generative AI use cases to support governance for model-based systems engineering
- Adaptation and utilization of existing software solutions in the field of Generative AI
- Supporting colleagues in governance for model-based systems engineering
- Taking minutes and documenting key decision-making meetings as well as preparing and following up on the content
- Analysis of the applicability and end-to-end consistency of existing toolchains and processes with regard to Generative AI
- Interviewing relevant stakeholders and detailing the existing systems engineering processes (current state and target state) in a process tool (Signavio)
- Gaining insights into requirements and systems engineering including related processes and tools and actively contributing to their sustainability
Your profile:
- Degree program in engineering sciences systems engineering electrical or information engineering business informatics or a related field
- Strong knowledge and ideally practical experience in the field of Generative AI
- Knowledge of programming languages such as Python and related technologies to enable software customization
- Good organizational skills ability to work independently and enjoyment of interacting with colleagues
- Experience in project coordination and organization
- Strong analytical skills
- Proficiency in Microsoft Office
- Ideally knowledge of process modeling methods and initial experience with corresponding tools
- Excellent German and English language skills both written and spoken
Why Syntax
- Flexible working hours - tailored to your studies
- International multilingual team with flat hierarchies that is open to innovation and new ideas
- Outlook and development towards a permanent position possible
- Work in a company with exciting innovation projects that are causing a stir across the industry
You have the chance of an exciting and interesting working student job. You will work in a hands-on environment and get to know the day-to-day business and the diverse tasks of the Manufactoring Advisory & Innovartion team with comprehensive support. Seize the opportunity and send us your documents. Isabel Baizan Ruiz will be happy to answer any questions you may have.
View more
View less