For Siemens Turkey R&D Department, we are looking for a Part-time Working Student to be located in Kartal who will support software development projects.

What are my responsibilities?

• Software design, implementation, debugging, unit tests, module tests, test automation, and involving in release tasks for industrial automation projects.
• Conducting research on applied AI in the field of Industrial/Building Automation.
• Proactively driving the use of state-of-the-art AI models and dataset preparation
• Working on packages related to LLM-based solution development, frontend/backend development etc.
• Create working prototypes of target applications using Mendix low-code Platform and related software technologies
• Being passionate about new technologies and tools related to AI and software development

What do I need to qualify for this job?

• 3rd year undergraduate student in Computer Science, Engineering or related area.
• Challenging and future-oriented
• Knowledge in at least one of these fields: Machine Learning, Deep Learning, Data Analytics and Natural Language Processing
• Knowledge in programming languages such as Python, Java, and/or C++
• Base knowledge in Large Language Model Tools such as LangChain, LLM API Calls, etc.
• Know-how in frontend/backend web-based application development will be considered advantageous
• Eager to follow new trends and technologies
• Able to work 2,5 days within the week.
• Fluent English both written and verbal

At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality.

As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.

Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.

We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.

Please find more information from our web site:

https://new.siemens.com/tr/tr.html

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