Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 53.802 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role you develop AI solutions in Python, integrate and optimize LLMs into existing software architectures, build Streamlit/FastAPI interfaces, test and containerize with Docker, and train users.
Job Technologies
Your role in the team
- Implementation and customization of AI-based solutions to meet specific business requirements.
- Collaboration with interdisciplinary teams to plan and implement AI initiatives.
- Analysis and optimization of existing AI models and systems to improve performance and usability.
- Integration of LLMs into existing software architectures and workflows.
- Conducting tests and validations to ensure the accuracy and efficiency of AI solutions.
- Documentation and training for our customers on the use and further development of the implemented solutions.
- Active monitoring of the latest trends and developments in the field of AI and their potential applications.
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Our expectations of you
Education
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a Master's degree or higher qualifications are advantageous.
Qualifications
- Extensive programming knowledge in Python and frameworks such as Streamlit and FastAPI.
- Strong analytical skills and problem-solving skills.
- Excellent communication skills and the ability to convey complex technical content in a simple way.
- Ability to work in a dynamic and collaborative environment.
Experience
- Extensive knowledge and practical experience with Large Language Models (e.g., GPT, Llama).
- Experience in implementing AI solutions in commercial applications.
- IMPORTANT RULES: - Keep the original formatting and structure. - Translate terminology correctly (e.g., "Frontend", "Backend", "DevOps", "Scrum Master") - Use industry-standard terminology for HR and tech - Maintain the tone (formal/informal) - Translate only the text, do not add explanations - Preserve the bullet-point structure - Technical terms that are used internationally may remain untranslated - Ensure correct grammar and natural flow Text to be translated: Experience with cloud platforms (especially Microsoft Azure) and their AI services.
- Experience with container technology (Docker) and Git.
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Benefits
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Job Locations
Topics that you deal with on the job
This is your employer
T-Systems Austria GesmbH
Graz, Bergheim, Wien, Gmünd
As one of the leading global players in information and communication technology (ICT), T-Systems offers a world-wide infrastructure of data centers and networks.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)4.4
Culture
4.5Workingconditions
5.0Engineering
4.0Career Growth
4.4