Weiterentwicklung und Betrieb unserer ML- und Datenplattform inklusive Integration neuer Anwendungsfälle und Sicherstellung eines stabilen Produktivbetriebs
Entwicklung produktionsreifer Softwarelösungen, Datenpipelines und Automatisierungen mit Fokus auf Qualität, Wartbarkeit und Skalierbarkeit
Mitgestaltung von Architekturentscheidungen sowie Weiterentwicklung technischer Standards für Daten-, Plattform- und Softwarelösungen
Analyse und Umsetzung fachlicher Anforderungen in robuste und nachhaltige Daten- und Softwareprodukte
End-to-End-Begleitung von Projekten – von der Anforderungsaufnahme über die technische Umsetzung bis zur Optimierung im Produktivbetrieb
Dein Profil
Abgeschlossenes Studium der Informatik, Mathematik, Physik, Wirtschaftsinformatik oder eine vergleichbare Qualifikation
Berufserfahrung als ML Engineer, Data Engineer, Platform Engineer oder Software Engineer im Daten- oder Cloud-Umfeld
Sehr gute Kenntnisse in Python sowie Erfahrung in der Entwicklung von Datenpipelines und Softwarelösungens
Gute SQL-Kenntnisse sowie idealerweise Erfahrung mit Cloud-Technologien und modernen Data-Platform-Frameworks
Praxis im Einsatz moderner Software-Engineering-Methoden wie Testing, CI/CD, Code Reviews und Versionsverwaltung
Full-time 10117 Berlin Our mission Imagine yourself building the next breakthrough AI/Machine-Learning technology, enabling "AI for everyone" at the start of the company's explosive growth. https://jobeax.com/link/1ncVI87JDvY5LSY5 is used by global enterprises across all industries, from banks, logistics, and insurance ...
... brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! About the team The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console ...
... assessment, occlusion detection, pose estimation, and others that allow these systems to operate reliably in real-world conditions. Our work spans the full machine learning lifecycle: defining data-collection and labeling requirements, curating datasets, conducting applied computer-vision research, training and evaluating ...
... engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked ...
... Python - PyTorch / JAX - Embeddings, vector search and ranking models - Production ML systems and inference pipelines Ideal Experience - Strong foundations in machine learning and modern neural architectures. - Hands-on experience building and deploying ML models in production. - Experience in classification, ranking, retrieval, ...
... will contribute to a range of exciting projects in production quality monitoring and vehicle interior monitoring. Working closely with software developers and data engineers, you will help design, train, deploy, and evaluate state-of-the-art machine learning algorithms for our automotive demonstrators. Your Responsibilities ...
... GenAI-Workflows auf Cloud-Plattformen (AWS, Azure, GCP) unter Nutzung moderner MLOps-Tools (z. B. MLflow) - Technisches Know-how: Praktische Erfahrung in Python (z. B. für Data Preparation oder Evaluation) und Verständnis grundlegender Machine-Learning-Konzepte - Teamgeist & Innovationsfreude: Teamgeist, Eigeninitiative und Begeisterung, ...
Job Description: Position: Machine Learning Engineer Location: Remote / Hybrid Employment Type: Full-time Responsibilities Design, train, and deploy machine learning models for production environments. Build data pipelines for model training, evaluation, and optimization. Work with large-scale datasets, perform feature ...
... campaigns - Work with a large span of datasets from image to video to audio to text to structured performance data. - Contribute to and strengthen Smartly's MLOps + data platform. You'll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications ...
Location: Berlin, Germany | Employment type: Office First | Team: Machine Learning Platform, Data & ML Platform Team description SumUp's Machine Learning Platform team builds the foundational tools that every data scientist at SumUp relies on, from feature engineering and model training through to experimentation, monitoring, ...