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Aufgabe
About the Role:
As an AI/LLM Engineer in our AI Foundation Services team, you will support the development of secure and compliant AI solutions with a focus on Large Language Models and Retrieval-Augmented Generation systems.
Your responsibilities:
Qualifications:
About the Role:
As an AI/LLM Engineer in our AI Foundation Services team, you will support the development of secure and compliant AI solutions with a focus on Large Language Models and Retrieval-Augmented Generation systems.
Your responsibilities:
- Design, develop, and implement end to end AI systems, particularly focusing on large language models (LLMs)
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes
- Conduct research to explore new techniques and technologies in AI and machine learning
- Analyze large datasets to identify trends and insights that inform model development
- Continuously monitor and improve model performance to ensure accuracy and efficiency
- Communicate technical concepts effectively to both technical and non-technical stakeholders
Qualifications:
- Education in Computer Science, Machine Learning, or a related field
- Excellent problem-solving skills and attention to detail
- Proficiency in Python and strong programming skills
- Experience with LLMs and AI frameworks: Transformers, Pytorch / Tensorflow as well as RAG frameworks: Llama-index / LangChain
- Ability to integrate new functional AI systems with APIs, low latency backends and production deployment
- Quickly grasp new AI concepts from papers and blogs, conduct experiments, and propose system improvements
- Excellent communication skills in English, both written and verbal
- Have experiences on working with distributed HPC clusters: Ray, Kubernetes, Docker
- Experience with fine-tuning LLM / Embed for downstream tasks
- Experience with building, evaluating RAG systems
Key Skills
Ranked by relevance
ai
machine learning
kubernetes
tensorflow
pytorch
python
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- Posted
- Apr 04, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Frankfurt
- Company
- T-Systems International
Industries
Telecommunications
Categories
Engineering
Information Technology
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DevOps/MLOps Engineer (ML / LLM Infrastructure)
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