Junior AI / LLM Engineer (m/f/d/x)

Deutsche Telekom AG; Berlin; Vor Ort; EUR 52.000 - 68.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Hybrid work model

Public transport subsidies

Employee discounts

Health services

Zusammenfassung

Deutsche Telekom AG in Berlin seeks a Junior AI/LLM Engineer to actively shape the future of artificial intelligence. You will develop and implement breakthrough AI/ML solutions, work with large language models, apply prompt engineering, and gain practical cloud experience in a collaborative team.

The role focuses on building and deploying AI applications, with opportunities to deepen machine learning fundamentals and contribute to exciting projects within a hybrid work model.

Qualifikationen

• Profound knowledge of machine learning basics.
• Understanding deep learning and neural networks.
• Experience with large language models via APIs or frameworks.
• Prompt engineering skills.
• Cloud platforms knowledge (Azure, AWS).

Kenntnisse

ML basics

Deep learning

Neural networks

LLMs via APIs

Prompt engineering

Cloud platforms

Analytical thinking

Team spirit

Tools

PyTorch

TensorFlow

Hugging Face

Git

Jobbeschreibung

About T-Systems International GmbH At T-Systems, we offer our business customers the right system solutions for their digital business. With our portfolio, we ensure that digital transformation reduces complexity, saves costs and makes everyday work easier. Our focus is on connectivity, digital, cloud & infrastructure as well as security - Let's power higher performance! Is this job made for you? Then take advantage of this opportunity! Severely disabled people are given priority if they are equally qualified. We are looking forward to seeing you!

About the position

As a Junior AI/LLM Engineer, you will take on an exciting role in which you can actively shape the future of artificial intelligence. You'll be part of our innovative team to develop and implement breakthrough AI and machine learning solutions. This includes working with cutting-edge large language models (LLMs), applying prompt engineering techniques and implementing deep learning and neural network concepts. You'll gain practical experience with cloud platforms and use your analytical thinking skills to contribute to problem solving. We offer you an environment in which you can deepen your basics in machine learning and deep learning and actively contribute to exciting projects. Teamwork is very important to us, and we help you to continuously develop your skills and play a crucial role in shaping our future AI products and services.

Must-Have Skills

• Profound knowledge of machine learning basics
• Understanding deep learning and neural networks
• First practical experience with large language models (LLMs) (e.g. via APIs or frameworks)
• Practical skills in prompt engineering
• Basic knowledge of cloud platforms (e.g. Azure, AWS)
• Strong analytical thinking skills
• Strong team spirit

Nice-to-have Skills

• Experience with natural language processing (NLP)
• Practical experience with ML frameworks such as PyTorch or TensorFlow
• Knowledge of the Hugging Face Transformers library
• Experience with version control systems (e.g. Git)

What we offer

• Future-oriented projects: Work on groundbreaking AI and LLM solutions that make real impact and shape the future.
• Individual development: Continuous learning opportunities through internal training, access to conferences and workshops to constantly expand your knowledge and advance your career.
• Flexibility & work-life balance: Benefit from flexible working hours and the opportunity to work in a hybrid way to optimally combine work and private life.
• Modern work environment: An innovative workplace with the latest technology, ergonomic equipment and an inspiring environment in a central location.
• Strong team culture: Become part of a dynamic, diverse and motivated team with flat hierarchies, open communication and a distinctive collaboration culture.
• Attractive conditions: Competitive compensation and other benefits such as public transport subsidies, employee discounts and health services.

This position is also available on a part-time basis. Severely disabled people are given priority if they are equally qualified.

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