Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Entwickelt theoretische Grundlagen und Sicherheitsgarantien für neue KI-Architekturen (Scientist AI) und beweist diese formal.
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.
We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda.
Taktile empowers financial institutions to transform into truly AI-native organizations.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed syste
Build and ship models that predict user value, engagement, and reward behaviour.
KI-Offensive und Automatisierung: ➡️ Du treibst unsere interne KI-Offensive strategisch und operativ voran, ➡️ Du integrierst LLMs in Analys
Die KfW nutzt Cloud-Technologien, um Anwendungen mit Künstlicher Intelligenz umzusetzen.
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Leitet ein internationales Risk-Analytics-Team, entwickelt Risikostrategien und unterstützt ML-basierte Modelle für die Kreditentscheidung.
Analyse und Identifikation von AI-Use-Cases in Kundenumgebungen Bewertung aktueller AI-Technologien und -Plattformen, prüfen von Lösungskonz
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners.
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
Das waren alle 22 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
You have - a MSc or PhD in mathematics or physics - a creative mind that likes to solve problems - interest in modern machine learning approaches (experience in deep learning is a bonus) - solid programming experiences (Python is a bonus) Minimum type of documents to attach: - CV (mandatory) - (Uni) Degree(s) (mandatory) - Transcripts (where applicable) - Project Portfolio (optional) Why us? You will work with an interdisciplinary team of people with a solid background in mathematics and statistics. We offer flexible working hours (full and part time) and have a nice office with good coffee in Berlin Kreuzberg, close to Moritzplatz.
We prefer a hybrid work model, but are open to remote work. We believe in science and support with publishing your research results. Here are short descriptions of some projects we have worked on: Estimate the amount of solar panels that fit on a roof (computer vision): Given a satellite picture and a ground image of a house, automatically detect certain elements of a roof (including obstacles, dormers etc.) in order to find out how many solar panels fit on it.
This involves inferring 3d information from 2d pictures in order to infer the roof pitch. Detect, classify and suggest legal effectiveness of text paragraphs (NLP): Automatically go through thousands of legal documents with the goal to classify dedicated paragraphs and check their legal effectiveness. This involves converting scans to text, coming up with a labelling scheme (problem modeling), and detecting different paragraphs automatically, before tackling the inference task.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently. You will - support the dida team in applying cutting-edge machine learning algorithms - experiment with model architectures to find the best solution for each specific project - keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environment.
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Zur Originalanzeige215 geprüfte Stellen bei 134 Arbeitgebern, 23 davon ortsunabhängig. 82 in der KI-Entwicklung, 70 in Integration & Automatisierung.