At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different perspectives, embrace challenges, and are committed to continuous learning in order to grow and make an impact on society... all in a fun way!
It doesn't matter when or where you work. It's about doing meaningful work that advances society. For this reason, we will do everything possible to ensure that you have all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. We support you in growing both personally and professionally so that you can make a notable impact on society.
T-Systems is a team of around 28,000 employees worldwide, making us one of the leading global providers of end-to-end integrated solutions. We develop hybrid cloud solutions, artificial intelligence, and drive the digital transformation of companies, industries, the public sector, and ultimately, society as a whole.
Job Description
Machine Learning Engineer for Natural Language Understanding and Large Language Models
Skills in Machine learnings tasks: Prompt Engineering, fine-tunning LLMs, Models Serving and Testing, Software Engineering in Python
Primary
- Prompt Engineering,
- Fine-tunning LLMs,
- Models Serving and Testing,
- Software Engineering in Python
Secondary:
- Familiarity with AWS tech stack
- Docker
- gitlab
- Pytorch, Keras knowledge