Your mission Join our ranking team and build the intelligent systems at the core of Cosuno s platform.
Konzeption, Architektur und Implementierung von KI-Lösungen mit Fokus auf Digitalisierung und Automatisierung Überführung von ML-/LLM-Workfl
Du entwickelst AI-basierte Features und digitale Produkte für unsere Maschinen und digitalen Anwendungen Du bewertest und validierst neue AI
Wir schreiben dir, sobald eine neue geprüfte Stelle zu RAG dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Ranking & recommendation experience: You ve built, evaluated, and improved ranking or recommendation models (learning to rank, reranking, recommender systems), ideally in production with measurable product impact. - End-to-end ownership: You ve personally taken features from the product problem through data, modelling, and the production service to real users. - Product judgment: You understand the business problem, make pragmatic decisions quickly, and know when something is good enough to ship. - Strong ML & deep learning background: You have 5+ years building, training, and shipping machine learning models — classical ML and deep learning — in production. You re fluent in a modern deep learning framework, ideally PyTorch. - Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code. - Experimentation rigor: You know how to evaluate models properly — offline metrics, online A/B tests — and let the data decide. - Opinionated and pragmatic: You look at a complex system, quickly identify what matters, and make the call.
When you re unsure, you find out with data. We re open on level. If you re at staff level or above, we d love to hear from you.
Bonus - Hands-on experience building and deploying LLM or agent systems — RAG, tool use, evals - TypeScript, React, or Node experience to help integrate your work into our web app - Experience building search systems or pricing models - Experience with embedding models, fine-tuning, or model training at scale - Domain exposure to construction, procurement, or marketplaces Why us - Shape a product that solves real-life problems in the construction industry - Work in an open-minded, collaborative, dynamic, and international team - Fully remote team and work culture - Freedom in your working hours. It s the results that count. - Company off-sites and regular team events (offline and online) - Flexible working conditions with the possibility to do workations - Competitive compensation, a permanent contract, and modern work equipment - Open feedback culture with regular 1-on-1s
Cosuno – Revolutionizing construction through technology. We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity.
Your mission Join our ranking team and build the intelligent systems at the core of Cosuno s platform. - Ranking & Recommendation: Own and improve the systems that match the right subcontractors to the right tenders. - AI for Construction: Take new models and AI capabilities from idea to production — design, train, evaluate, deploy, iterate — and own them end to end. - Price Prediction: Improve the models that help users evaluate bids and make better procurement decisions, trained on millions of price data points. - Experimentation & Evaluation: Design offline evals, run online A/B tests, and drive metrics-led iteration. - AI Agent Development: Build and improve our agentic system that orchestrates multi-step reasoning to navigate the complex, often messy tendering workflow. - Ship into the product: Take your work all the way to real users — model, backend service, API, and the integration into our TypeScript web app. - Own the problem: Work directly with Product and Data to decide what to build, then build it. - Maintain production ML & AI: Monitoring, alerting, and continuous improvement of everything we deploy.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeRetrieval Augmented Generation heißt: Das Sprachmodell antwortet nicht aus dem Gedächtnis, sondern bekommt die passenden Stellen aus einem Dokumentenbestand mitgeliefert. Das ist derzeit der häufigste Weg, ein Modell an eigenes Firmenwissen zu binden, entsprechend oft steht es in Anforderungen. Die Arbeit liegt dabei weniger im Modell als im Drumherum: Dokumente zerlegen, Einbettungen wählen, die Suche messbar machen, Quellen ausweisen. Wer so etwas schon gebaut hat, kennt den Unterschied zwischen einer Vorführung und einem System, dem ein Fachbereich seine Akten anvertraut.