Job Description

Descripción de la empresa

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We welcome new talents like you—bringing fresh ideas, different perspectives, embracing challenges, and continuous learning to grow and make an impact… all in a fun way!

It doesn’t matter when or where you work. What matters is doing work that truly makes a difference. For this reason, we will do everything possible to ensure you have every opportunity for development by offering a support network, cutting-edge technology, and a modern work environment, along with the freedom to work autonomously. We support your constant growth—both personally and professionally—so you can leave a meaningful mark.

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 businesses, industries, the public sector, and society as a whole.

Descripción del empleo

Responsibilities:

• Design, develop, and implement end-to-end AI systems, with a strong focus 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.

Requisitos

Requirements:

• Overall experience: 8+ years; relevant experience: 3+ years.
• Degree in Computer Science, Machine Learning, or a related field.
• Excellent problem-solving skills and attention to detail.
• Proficiency in Python and strong programming skills.
• Hands-on experience with LLMs and AI frameworks: Transformers, PyTorch, TensorFlow, as well as RAG frameworks: LlamaIndex, LangChain.
• Practical experience with agent frameworks such as LangGraph, CrewAI, AutoGen.
• Ability to integrate new functional AI systems with APIs, low-latency backends, and production deployment.
• Ability to quickly understand new AI concepts from papers and blogs, run experiments, and propose system improvements.

Preferred:

• Experience working with distributed HPC clusters: Ray, Kubernetes, Docker.
• Experience fine-tuning LLMs/Embeddings for downstream tasks.
• Experience building and evaluating RAG systems.

Información adicional

What do we offer?

• International, positive, dynamic, and motivated work environment.
• Hybrid work model (remote/on-site).
• Flexible working hours.
• Continuous training: certification preparation, access to Coursera, weekly English and German classes.
• Flexible compensation plan: health insurance, meal vouchers, childcare, transportation assistance.
• Life and accident insurance.
• 26+ vacation days per year.
• Social fund.
• Free access to specialists (doctors, physiotherapists, nutritionists, psychologists, lawyers).
• 100% salary coverage in case of medical leave.
• And many more benefits of being part of T-Systems!

If you are looking for a new challenge, don’t hesitate to send us your CV. Join our team!

T-Systems Iberia will only process CVs from candidates who meet the specified requirements for each position.