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 Rahmenwerke und Architekturen für sichere KI-Systeme und beweist probabilistische Sicherheitsgarantien unter Daten- und Rechenbeschränkungen.
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.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
As an AI Product Manager, you ll work on products in our AI audit toolbox alongside engineers, designers, auditors and our founders.
Betreibt und skaliert GPU-Cluster für das Training tabellarischer Foundation Models, inklusive Scheduling, Kostenoptimierung und CI/CD-Pipelines.
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Bringt jedes TabPFN-Modell-Release über SAP, Cloud-Marketplaces und Kundenumgebungen live und koordiniert dafür Engineering und Partnerteams.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
& THE TEAM Join our dynamic Logistics Network Planning team, where you’ll be at the forefront of shaping the future of Zalando’s logistics operations.
The website. Technical blogs, webinars, and product videos.
As a Forward Deployed Engineer for Key Accounts, you are the technical point of contact for a portfolio of Aircall s strategic customers.
Make an Impact by: - Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS - Own
Build and ship models that predict user value, engagement, and reward behaviour.
Berät Kunden zur Sichtbarkeit in ChatGPT, Gemini und Google AI Mode, misst KI-Sichtbarkeit und leitet Maßnahmen ab.
Die KfW nutzt Cloud-Technologien, um Anwendungen mit Künstlicher Intelligenz umzusetzen.
German (C1+) and English required You make sure 10+ software companies get real value out of AI.
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.
Interesse an dieser Position?
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.