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AI Engineer (m/w/d) Machine Learning & GenAI
Summary by AIEngineer.careers
AI Engineer (m/w/d) Machine Learning & GenAI is a AI Engineer role (full-time). with Finnofleet GmbH. in BERLIN, DE. Imported listing (source: clever.cv). Apply on the employer's site (clever.cv).
Imported listing (source: clever.cv) · Apply on clever.cv
BERLIN · DE
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from clever.cv
As an AI Engineer at Finnofleet, you will develop, test, and optimize AI components for automating financial services processes. You will work on data extraction, document and text processing using machine learning and GenAI, and build agentic approaches for credit application processing. The role involves implementing microservices and REST interfaces, and integrating AI components into existing software applications.
Responsibilities
- Develop, test, and optimize new AI components for automating financial services processes.
- Program in Python and work on data extraction, document and text processing with machine learning and GenAI.
- Develop agentic approaches for processing documents in the credit application process.
- Test existing AI systems, analyze their performance, and continuously optimize them.
- Implement microservices and REST interfaces, and support integration of AI components into existing software applications.
Requirements
- Degree in (Business) Informatics, Mathematics, Data Science, or a comparable field.
- Extensive practical experience with Python under Linux and familiarity with common development tools like Git and AI-assisted coding.
- Experience in implementing production-ready machine learning and especially GenAI solutions (Ollama, LangChain, open and closed models) and agentic workflows (MCP, RAG).
Finnofleet GmbH
Mörfelden-Walldorf · DE · 125+ employees
FINNOFLEET develops end-to-end financial software for banks, financial-service providers, and insurers. Its AI-supported solutions cover the credit lifecycle and can be deployed as cloud, hybrid, or licensed software with in-house consulting.
