NDI – Neue Deutsche Infrastruktur GmbH is a Berlin-based technology company building digital infrastructure for a resilient and sovereign Germany.
Konzeption und Implementierung skalierbarer ML-Pipelines für Training, Evaluation, Deployment und Optimierung Aufbau moderner Embedding- und
Gestaltung innovativer KI-Projekte und Entwicklung von Algorithmen, die Genauigkeit, Skalierbarkeit und Interpretierbarkeit vereinen Aufbere
Help us use technology to make a big green dent in the universe!
Almost everything Peec shows a customer passes through a model at some point.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Deep analysis. Smarter systems.
Job Title: AI Strategist (m/f/d) Location: Berlin, Germany Why this role matters Most enterprises know AI will redefine their sector, but la
Über CHAPTERS Group CHAPTERS Group ist eine börsennotierte deutsche Holding, die vertikale Softwareunternehmen erwirbt und hält.
Strategic Technical Partnership: Partner with product and design as a technical peer - shaping scope, challenging assumptions, and influenci
Sprachmodelle in Fachanwendungen integrieren: RAG mit Retrieval und Reranking, Tool-Calling, MCP-Server, Multi-Agent-Abläufe Evaluierung auf
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world s leading travel search engine.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a l
will include: Set the intellectual direction for AI for Materials - Define Dunia’s research thesis for AI-native materials discovery - Ident
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
You will have ownership over designing, building, and scaling the core systems that bring Prior Labs foundation models to the world.
Führt Teams bei Software- und ML-Systemen zur Zahlungsrisiko- und Betrugserkennung, verantwortet Architektur und begleitet Produktivsetzung und Incident-Reviews.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Optimiert und betreibt die Trainingsinfrastruktur für generative Audiomodelle: GPU-Profiling, verteiltes Training und SLURM-Cluster.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Degree in Computer Science, Software Engineering, AI, Data Science, or a related field Experience in software testing, quality assurance, or AI/ML system evaluation Strong understanding of machine learning concepts, AI system behavior, and testing methodologies Familiarity with automated testing tools, scripting languages, and test frameworks Experience analyzing model outputs, performance metrics, and potential biases Understanding of security, privacy, and compliance considerations in AI applications Strong analytical thinking and problem-solving skills Excellent communication skills and the ability to work in interdisciplinary teams Fluent in German; good English skills
Attractive above-average compensation package Centrally located offices with access to the unique ThinkTank Campus in Berlin-Wannsee Free snacks and beverages in our offices Flat hierarchies, fast decision-making, and room for your own ideas International team spirit with recognition of both collective and individual successes Early responsibility and creative freedom from day one Structured onboarding with a buddy and experienced mentor Continuous training programs and regular development discussions Join Neue Deutsche Infrastruktur and become part of a mission-driven team building the future of digital public services. If you are passionate about analyzing complex administrative systems and transforming them into meaningful digital solutions with real societal impact, we would love to hear from you.
NDI – Neue Deutsche Infrastruktur GmbH is a Berlin-based technology company building digital infrastructure for a resilient and sovereign Germany. We develop, integrate and operate software solutions that simplify access to administrative processes, automate them and connect them with one another. Our work ranges from secure data exchange to applications for citizens, businesses and public authorities.
Our goal is a public administration that is simple, secure and digitally accessible for everyone. To support the growth of our organization, we are looking for an AI Test Engineer (f/md) who is passionate about ensuring the reliability, security, and quality of AI-driven applications in the public sector. In this role, you will help validate and optimize AI systems that directly impact digital government services and citizen experiences.
In this role, you will design, develop, and optimize AI-powered solutions that help modernize public administration and create seamless digital experiences for citizens and institutions. Tasks Design, implement, and maintain testing strategies for AI-powered applications and machine learning systems Evaluate AI model performance, accuracy, robustness, and reliability across different use cases Identify system weaknesses, edge cases, biases, hallucinations, and security vulnerabilities Develop automated test frameworks and quality assurance processes for AI solutions Collaborate closely with AI Engineers, Product Managers, and Software Developers throughout the development lifecycle Analyze datasets and outputs to ensure compliance with quality and ethical standards Support continuous improvement of AI systems through structured feedback and testing insights Document testing methodologies, findings, and recommendations for internal and external stakeholders Contribute to establishing best practices for responsible and trustworthy AI within public administration environments
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige208 geprüfte Stellen bei 136 Arbeitgebern, 24 davon ortsunabhängig. 84 in der KI-Entwicklung, 64 in Integration & Automatisierung.