WHAT TO EXPECT:

• Develop & implement AI solutions: You create and optimize AI solutions with a focus on large language models (LLMs)
• Use AI technologies: Whether Azure AI Services, Langchain or HuggingFace - you and your team develop concrete technical solutions for current business problems
• Integrate & operate machine learning services: You work with Azure Machine Learning, OpenAI Services and other ML tools
• Analyze data & gain insights: You analyze complex data sets in close collaboration with the Data Science Team
• Build end-to-end pipelines: You develop data processing and deployment pipelines in Azure
• Train & select ML models: You select suitable machine learning models and accompany the training
• Perfecting Prompt Engineering: You design and improve prompts to exploit the full potential of generative models

WHAT YOU BRING WITH YOU:

• Studies & Qualifications: You have completed a degree in computer science, mathematics, data science or a comparable qualification
• Proficiency in Python & AI libraries: You have in-depth knowledge of Python and common AI/ML libraries such as PyTorch, TensorFlow, and scikit-learn
• Use Azure Cloud Services: You are proficient in using Azure Cloud Services, especially Azure ML, Azure AI Services and Cognitive Services
• Mastering Prompt Engineering: You have good basic knowledge of prompt engineering for generative models
• Use LLMs: You are well-versed in Large Language Models (LLMs) such as ChatGPT, LLAMA, or Mistral AI and know how to use them productively
• Code Version Control & Collaborative Working: You already have experience using CVC systems such as Git and are used to working on a project together with other developers
• Analytical thinking & AI enthusiasm: You think analytically, work in a structured manner and are passionate about new AI technologies