Dein persönlicher KI-Karriere-Agent
Developing and operating real-time ML inference services for energy trading. Production ML systems experience in Python required. Security clearance and wartime placement possibility.
Anforderungen
- Experience with production ML systems in Python
- Solid understanding of ML system lifecycle challenges
- Interest in or experience with MLOps concepts and automated pipelines
- Familiarity with distributed or containerized systems (Docker, Kubernetes), or strong motivation to deepen this skillset
- Drive, curiosity, and creativity
- Mindset of ownership
- Willingness to challenge and improve technical choices
- Degree in Computer Science, Engineering, Data Science, or similar
Aufgaben
- Own and develop production ML systems for real-time trading
- Design and improve MLOps pipelines
- Build and operate real-time inference services
- Contribute to ML and data architecture decisions
- Collaborate with data scientists, traders, and engineers
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- MLOps
- Docker
- Kubernetes
Benefits
Sonstige Vorteile
- Diversity and inclusion initiatives
- Security clearance required
Sicherer Arbeitsplatz
- Wartime placement possibility
Noch nicht perfekt?
- FREENOWVollzeitmit HomeofficeSeniorHamburg, Berlin
- Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin - FELD M
Machine Learning Engineer / Data Scientist(m/w/x)
Vollzeit/TeilzeitRemoteBerufserfahrenMünchen, Berlin, Hamburg - workidentity GmbH
AI-/ KI Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHamburg - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main
Developing and operating real-time ML inference services for energy trading. Production ML systems experience in Python required. Security clearance and wartime placement possibility.
Anforderungen
- Experience with production ML systems in Python
- Solid understanding of ML system lifecycle challenges
- Interest in or experience with MLOps concepts and automated pipelines
- Familiarity with distributed or containerized systems (Docker, Kubernetes), or strong motivation to deepen this skillset
- Drive, curiosity, and creativity
- Mindset of ownership
- Willingness to challenge and improve technical choices
- Degree in Computer Science, Engineering, Data Science, or similar
Aufgaben
- Own and develop production ML systems for real-time trading
- Design and improve MLOps pipelines
- Build and operate real-time inference services
- Contribute to ML and data architecture decisions
- Collaborate with data scientists, traders, and engineers
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- MLOps
- Docker
- Kubernetes
Benefits
Sonstige Vorteile
- Diversity and inclusion initiatives
- Security clearance required
Sicherer Arbeitsplatz
- Wartime placement possibility
Über das Unternehmen
Vattenfall
Branche
EnergyAutomation
Beschreibung
Das Unternehmen bietet vernetzte Energiekomplettlösungen und treibt die Energiewende in Nordrhein-Westfalen voran.
Noch nicht perfekt?
- FREENOW
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorHamburg, Berlin - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin - FELD M
Machine Learning Engineer / Data Scientist(m/w/x)
Vollzeit/TeilzeitRemoteBerufserfahrenMünchen, Berlin, Hamburg - workidentity GmbH
AI-/ KI Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHamburg - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main