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Machine Learning Engineer (Credit Risk & Decisioning) - Remote Canada
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C
AI Summary
Join cee chamber’s Innovation Team in Budapest as a Machine Learning Engineer specializing in NLP and agentic AI. You’ll design and deploy advanced AI systems, build autonomous reasoning agents, and translate research into scalable production solutions for enterprise construction and infrastructure workflows. Collaborate cross-functionally to drive AI innovation in enterprise software.
Key Highlights
Develop NLP and LLM-based systems for information extraction, summarization, and question answering
Build agentic AI systems with autonomous reasoning and enterprise software integration
Translate experimental prototypes into production-grade AI solutions for construction tech
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Key Responsibilities
Design and deploy NLP and LLM-based systems for tasks like information extraction, summarization, classification, and question answering
Build agentic AI systems capable of autonomous reasoning and integration with enterprise software platforms
Develop and implement retrieval-augmented generation (RAG) pipelines for AI-driven workflows
Translate experimental AI prototypes into robust, production-grade solutions
Collaborate with product managers, software engineers, and domain experts to identify high-impact AI opportunities
Contribute to a flagship agentic prototype demonstrating advanced NLP capabilities in enterprise products
Technical Skills Required
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Benefits & Perks
Almost fully remote with 1 day per week in-office (Budapest, near Allee Shopping Mall)
Opportunity to work on cutting-edge AI technologies (LLMs, autonomous agent systems)
Long-term, stable full-time permanent role with professional growth opportunities
Job Description
A leading construction technology software company operating in the construction and infrastructure ecosystem is expanding its Innovation Team in Budapest. We are currently looking for a highly skilled Machine Learning Engineer to help develop next-generation AI capabilities that improve how complex infrastructure projects are designed, managed, and maintained.
Description
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