Machine Learning Engineer | ML Engineer (m/w/d)
Staatl. Führungsakademie für Ernährung, Landw.u.Forsten Land Bayern
Job Summary
This role is for a Machine Learning Engineer focused on innovation and progress within the Bavarian State Ministry's Academy for Food, Agriculture, and Forestry (FüAk), specifically within their expanding competence center for AI and Knowledge Management. The successful candidate will play a central role in implementing AI technologies and optimizing knowledge management processes. Day-to-day responsibilities include translating technical requirements into precise concepts and architectures, integrating and optimizing existing AI models—including Large Language Models (LLMs)—into robust, automated systems, and developing functional front-end and back-end components. The engineer will also be responsible for processing complex datasets, developing prototypes and Proof-of-Concepts for data-driven AI approaches, and providing technical training to employees. Key qualifications include a Bachelor's degree in Computer Science, Data Science, or a related field, excellent programming skills, particularly using Python, and deep knowledge of developing and deploying generative AI models. This position offers a modern, crisis-proof, and permanent employment opportunity within the public service.
Required Skills
Education
Completed Bachelor's degree (e.g., Computer Science, Data Science, AI, Natural Sciences) or equivalent qualification for the third qualification level in Administrative Informatics.
Experience
- Professional experience in developing and deploying AI models, especially Generative AI
- Professional experience in developing Front-end and Back-end solutions
- Several years of professional experience in AI/Knowledge Management (Required for alternative qualification path)
- Experience in agile project management (Advantageous)
- Experience in public administration (Advantageous)
Languages
Additional
- Strong analytical thinking combined with methodical, goal-oriented approach; Team and communication skills; Service and customer orientation; Ability to clearly explain complex technical matters; Permanent contract.
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