Machine Learning Engineer | Machine Learning Engineer (w/m/d) - ID 171
Bayerisches Landesamt für Steuern Dienststelle Nürnberg
Job Summary
As a Machine Learning Engineer at the Bavarian State Office for Taxes in Nuremberg, you will play a pivotal role in automating tax administration processes. You will work within an agile team to transform large, unstructured datasets into actionable insights. Your day-to-day responsibilities include developing scalable data pipelines, performing classification and clustering tasks, and leveraging Large Language Models (LLMs) for complex data extraction. You will be involved in the entire lifecycle of machine learning projects, from initial data exploration and proof-of-concept development to full integration into productive MLOps pipelines. This position is ideal for someone who enjoys bridging the gap between raw data and operational efficiency in a stable, public-sector environment that emphasizes work-life balance, including flexible home-office options and professional development opportunities.
Required Skills
Education
University degree (Bachelor, Diploma FH) in Computer Science, Physics, Mathematics, or a related IT field; alternatively, comparable knowledge and skills acquired through relevant professional experience.
Experience
- Professional experience in software development or data-driven application development
- Experience in machine learning model implementation and production deployment
- Experience in working with agile teams and structured development workflows
- Experience in statistical analysis and explorative data evaluation
Languages
Additional
- Must be able to submit application via Interamt platform by May 23, 2026, referencing ID 171. Position is based in Nuremberg, Germany.
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