You design and implement AI systems, focusing on large language models. You collaborate with teams, conduct research, and provide insights from data analysis, all while ensuring effective communication with stakeholders.
Anforderungen
- •Education in Computer Science or related field
- •Excellent problem-solving skills
- •Proficiency in Python and programming skills
- •Experience with LLMs and AI frameworks
- •Ability to integrate AI systems with APIs
- •Ability to grasp new AI concepts quickly
- •Excellent communication skills in English and German (C1)
- •Experience with distributed HPC clusters
- •Experience with fine-tuning LLMs for tasks
- •Experience with building RAG systems
Deine Aufgaben
- •Design and implement end-to-end AI systems
- •Focus on developing large language models
- •Collaborate with teams to integrate AI solutions
- •Conduct research on AI and machine learning techniques
- •Analyze datasets to identify trends and insights
- •Monitor and improve model performance continuously
- •Communicate technical concepts to various stakeholders
Original Beschreibung
Job ID: 235104
Location: Germany : Nordrhein-Westfalen : Bonn || Germany : Bayern : München || Germany : Berlin : Berlin || Germany : Hamburg : Hamburg || Germany : Hessen : Darmstadt || Germany : Hessen : Frankfurt/Main || Germany : Nordrhein-Westfalen : Düsseldorf
Career level: 04 - Professionals
Experience required: 3-5 years
Employment type: 01 - Regular (Part Time possible)
Weekly working hours: 40.00
Amount of travel: 0-25%
Languages required: German; English
**Department**
We are a team of skilled engineers and ML experts working with clients in healthcare, public sector, and automotive industries. Our focus is on rapid iterations and delivering tangible business outcomes through innovative AI solutions.
In the "Digital Solutions" business unit, we focus on providing our customers with a clear competitive advantage through pioneering digital solutions. Our goal is to support companies in driving their digital transformation and strengthening their competitiveness in an increasingly digital market environment. The "Digital Enabler" area plays a key role within our Digital Solutions portfolio, concentrating on fields such as Artificial Intelligence, Data Intelligence & Big Data, Hyperautomation, Application-Led Cloud Transformation, IoT, Digital Identity, and more. For all the focus industries in the "Digital Solutions" portfolio area, we deliver state-of-the-art expertise and solutions in close collaboration with the industry-oriented teams.
In the "Artificial Intelligence" area, our expertise focuses on "Generative AI & LLM Services," "AI Architecture," "Computer Vision," and "AI Platforms & Assets.
**Tasks**
**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
**Profile**
**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 and German, both written and verbal (C1)
**Nice-to-Have:**
* 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
In case of equal qualification, disabled candidates will be considered preferentially.
Severely disabled applicants with equal qualification will be given particular consideration.