We are looking for a Data Scientist with hands-on experience in Generative AI, particularly with Large Language Models. Our ideal candidate would focus on exploration and exploitation of state-of-the-art models, together with other Data Scientists, Data Engineers, BI Analysts and Software Engineers of a multicultural team.
Key Tasks and Responsibilities
- Understand the landscape of Generative AI and their potential business applications
- Investigate and apply state-of-the-art Large Language Models to solve potential business problems
- Collect, process relevant data sets and deliver proof of concepts
- Take part in the development of prototypes and production services with other team members in a cross-functional agile team setup
- Analyze and improve existing productive Generative AI services
- Learn, grow and be an active member of our internal data science community by sharing best practices and success stories
Our requirements:
- Master’s degree in Computer Science, Physics, Engineering or similar
- Solid hands on experience with data analysis, visualization, storytelling and Python programming including corresponding data science/AI libraries
- Knowledge of standard supervised learning methods (e.g. time series forecasting, regression or classification)
- Proficient in NLP libraries (e.g., NLTK, SpaCy, Hugging Face)
- Experience with Large Language Models, Prompt Engineering and cloud-based API services for Generative AI
- Passion to learn new technologies and analytical methodologies in the field of Generative AI
- Clear and succinct verbal and written communication skills in English
Nice-to-have knowledge:
- Experience with Retrieval Augmented Generation (RAG) or LLM fine-tuning
- Experience with Microsoft Azure ML/AI services
- Familiarity with Big Data frameworks (e.g., Spark) and Deep Learning frameworks (e.g., PyTorch)
- Experience in implementing scientific methodologies
- Knowledge of Optical Character Recognition (OCR) solutions
- Background in Logistics
- Willingness to publish articles and speak up in tech conferences
Vorteile:
Professional Development
We’re strong believers in continual training and development for our people. After all, your success is our success.
Work-life Balance
Our vacation and leave policies reflect our belief in proper work-life balance.
Working Internationally
See the world with DB Schenker! If you’re searching for an international challenge, we offer plenty of opportunities.
Medical healthcare package
Private medical healthcare offers various packages for you and your family.
Sport Card
Sport card gives you free access or discounts to many sport objects.
Life insurance
Life insurance for you and your family members.
Holiday Bonus
If you take a two week continuous holiday, you can apply for the special bonus.
Pension Program (PPE)
PPE is a chance for a bigger retirement. Company pays 3,5% of your salary to into your individual PPE account.
Annual Bonus
Depending on company results we offer you annual bonus.
Language Courses
We offer you a possibility to improve your language skills.