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AI/ML Engineer

Jobgether•Germany
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 10/25/2026•Expires 11/24/2026
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Job Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Engineer based in Germany.

Join a mission-driven engineering team developing practical AI systems that address real-world challenges in healthcare, agriculture, education, and international development.

As an AI/ML Engineer, you will design, build, evaluate, deploy, and continuously improve AI-powered applications used by nonprofit organizations and their communities. You will work on solutions ranging from clinical copilots and AI coaching tools to agricultural advisory chatbots and evaluation infrastructure.

Collaborating with behavioral scientists, researchers, and embedded engineers, you will translate applied AI research into reliable, scalable products and reusable technical resources.

You will also help partner organizations strengthen their own AI capabilities through mentorship, open-source contributions, and knowledge sharing.

This fully remote role offers substantial technical ownership and the opportunity to apply advanced AI engineering to initiatives that can improve outcomes for millions of people.

Accountabilities: In this role, you will build and improve production-ready AI systems while helping nonprofit partners adopt effective, measurable, and responsible AI practices. Your work will combine hands-on engineering, applied research, experimentation, and collaboration with teams working directly in the field.

Design, build, evaluate, deploy, and improve machine learning systems and AI-powered applications for real-world use cases. Contribute to open-source AI evaluation infrastructure and tools that help nonprofit organizations assess and improve their AI products.

Work closely with behavioral scientists, researchers, and field teams to identify recurring challenges and translate findings into reusable tools, frameworks, playbooks, and technical publications. Develop rigorous evaluation methods for AI systems, incl

Required Skills

AIMLmachine learningopen-sourceevaluation methodsengineeringapplied researchcollaborationhealthcareagricultureeducationinternational developmentbehavioral sciencetechnical publicationsmentorshipchatbotsAI coaching toolsclinical copilotsevaluation infrastructure

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