Data & AI Engineer (w/m/d), remote in DE

Cloud is your world - whether it's AWS, Microsoft, Google or SAP? Then you're the perfect fit for us! At Public Cloud Group (PCG), we support companies in shaping their IT landscapes in the cloud in a modern, secure, and future-proof way. As a Data and AI Engineer, you'll be the driving force behind bringing cutting-edge Machine Learning and Generative AI to our customers' real-world applications. You'll work as part of our internal Delivery Team and accompany pioneering AI initiatives from the initial creative idea to a stable, scalable architecture.

Requirements

• Project experience fund: Several years of experience in IT project business behind you, where you've intensively dealt with machine learning, AI, and modern data processing.
• Safety in cloud environments: Feel at home in at least one of the three major hyperscalers (AWS, Google Cloud, or Microsoft Azure) and know how to use their potential.
• Routine in Python & Frameworks: Proficient in Python and bring practical experience with common ML/AI frameworks to our projects.
• Practice with AI ecosystems: Actively worked with platforms like Vertex AI, AWS Bedrock, or Azure AI Foundry and implemented solutions within them.
• Enthusiasm for GenAI: Bring hands-on experience with LLMs and prompt engineering, and have already designed initial Agentic Workflows (e.g., via LangChain or LlamaIndex).
• Comprehensive architecture understanding: Understand the basics of API development and cloud architectures, enabling you to smoothly and stably integrate AI models into existing systems.
• Communicative strength: Enjoy explaining complex AI concepts in a clear and understandable way and accompanying our customers in their strategic decisions.
• Data engineering basics: Solid foundation in SQL or modern data warehouses (e.g., BigQuery, Snowflake) to independently advance data preparation for your models.
• Knowledge of vector databases: Experience with vector databases (e.g., Vertex AI Vector Search, Azure AI Search, or pgvector).
• Specialized certifications: Completed certifications in machine learning/AI in Google and Azure or are interested in obtaining them with our support.
• Team ability and drive: Result-oriented focus and the joy of collaborating with our diverse team, consisting of experts with passion.

Benefits

• Flexibility pure
• Workation
• Time off
• Your hardware, your choice
• Further education
• Feedback that counts
• More than basics