FREENOW
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg, Berlin
New Job?Nejo!
Your personal AI career 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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MLOps
- Docker
- Kubernetes
Benefits
Other Benefits
- Diversity and inclusion initiatives
- Security clearance required
Job Security
- Wartime placement possibility
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vattenfall and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin - FELD M
Machine Learning Engineer / Data Scientist(m/w/x)
Full-time/Part-timeRemoteExperiencedMünchen, Berlin, Hamburg - workidentity GmbH
AI-/ KI Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Full-time/Part-timeWith 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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MLOps
- Docker
- Kubernetes
Benefits
Other Benefits
- Diversity and inclusion initiatives
- Security clearance required
Job Security
- Wartime placement possibility
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vattenfall and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Vattenfall
Industry
EnergyAutomation
Description
Das Unternehmen bietet vernetzte Energiekomplettlösungen und treibt die Energiewende in Nordrhein-Westfalen voran.
Not a perfect match?
- FREENOW
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin - FELD M
Machine Learning Engineer / Data Scientist(m/w/x)
Full-time/Part-timeRemoteExperiencedMünchen, Berlin, Hamburg - workidentity GmbH
AI-/ KI Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main