We are seeking a talented AI/LLM Engineer to join our AI Foundation Services this role youll develop secure and compliant AI solutions focusing on delivering foundational services like large language models (LLMs) retrieval-augmented generation (RAG) and custom AI solutions for industries like healthcare public sector and automotive.
Youll help shape T-Systems AI products to meet the security and regulatory needs of European enterprises with a focus on practical scalable solutions.
- 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 :
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.
Preferred Skills
- 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.
Additional Information :
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
We are seeking a talented AI/LLM Engineer to join our AI Foundation Services this role youll develop secure and compliant AI solutions focusing on delivering foundational services like large language models (LLMs) retrieval-augmented generation (RAG) and custom AI solutions for industries like heal...
We are seeking a talented AI/LLM Engineer to join our AI Foundation Services this role youll develop secure and compliant AI solutions focusing on delivering foundational services like large language models (LLMs) retrieval-augmented generation (RAG) and custom AI solutions for industries like healthcare public sector and automotive.
Youll help shape T-Systems AI products to meet the security and regulatory needs of European enterprises with a focus on practical scalable solutions.
- 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 :
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.
Preferred Skills
- 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.
Additional Information :
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
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