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4 artificial intelligence jobs found in Cologne

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Artificial Intelligence  (4) Machine Learning  (3) DevOps  (3) Data Science  (2) Data Analytics  (2) Business Intelligence  (2)
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trivago
12/12/2025
Full time
Data Scientist - Marketing Strategy & Intelligence
trivago Hybrid (Kesselstraße 5-7, Düsseldorf, Germany)
The Marketing Strategy and Intelligence team at trivago is a unique blend of data and business expertise, steering key marketing decisions through impactful data products, ...
trivago
26/11/2025
Full time
Data Scientist - Content
trivago Hybrid (Kesselstraße 5-7, Düsseldorf, Germany)
Are you passionate about leveraging AI to enhance user experiences? Our Content Data Science team (working with visual, textual and structured content) focuses on innovative solutions that ...  
GEVAS software GmbH
22/11/2025
Full time
DevOps Engineer (m/f/d), location independent
GEVAS software GmbH Hybrid (52074 Aachen-Gemmenich, Germany)
We are looking for DevOps Engineer (m/f/d), location independent To support our IT team, we are looking for reinforcements immediately, regardless of location; partial mobile working is possible. Your tasks • Building, operating and automating cloud infrastructures (Azure) • Creation and maintenance of CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) • Operation and optimization of containers and orchestration tools (Docker, Kubernetes) • Implementation of Infrastructure as Code (Terraform, Ansible) • Ensuring system security through the integration of DevSecOps practices • Monitoring, logging and error analysis (e.g. Prometheus, Grafana, ELK Stack) • Further development and optimization of development, testing and production environments • Collaboration with development teams in agile projects (Scrum, Kanban) Your qualifications • Completed studies in computer science, comparable...
ITech Progress GmbH
20/11/2025
Full time
Machine Learning Engineer (m/f/d)
€45,026 - €80,000 yearly
ITech Progress GmbH Hybrid (67059 Ludwigshafen am Rhein, West, Germany)
We offer you: Innovative projects with room for your ideas and individual development opportunities Flexibility through remote work and flexible working hours A culture of appreciation with flat hierarchies and direct communication Further training opportunities and certifications in our Academy Attractive benefits such as team events, modern equipment and a balanced work-life balance Work-life balance Your tasks: Development and optimization of ML and deep learning models Building and maintaining MLOps pipelines (training, deployment, monitoring) Collaboration with data scientists and software developers Use of cloud technologies (AWS, Azure, GCP) for scalable solutions Performance tuning and monitoring of models during operation Your profile: Completed studies in computer science, data science, or a related field. Excellent knowledge of Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)...
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