Kapsch TrafficCom AG
Software DevOps Engineer(m/w/x)
Full-timeWith HomeofficeJunior
Wien
from 60,000 / year
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KAKapsch TrafficCom AG
DevOps Engineer Deep Learning / Computer Vision(m/w/x)
Wien
from 56,000 / year
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Deploying Deep Learning Computer Vision applications for intelligent mobility solutions. CI/CD pipeline automation and deep learning build pipelines experience required. Homeoffice, flexible hours, and meal discounts.
Requirements
- Degree in Computer Science, Software Engineering, or equivalent practical experience
- Solid experience with DevOps tools and practices
- Strong Linux knowledge and scripting skills
- Solid programming/scripting skills (ideally in Python)
- Hands-on experience with Ansible, Docker, Grafana, and monitoring stacks
- Familiarity with SQL/NoSQL databases and cloud environments (AWS, Azure, GCP)
- Experience in setting up and running CI/CD pipelines (GitLab preferred)
- Good problem-solving skills, structured working style, and collaboration ability
- Strong English communication skills
- Experience with Computer Vision or Deep Learning
- Experience with web development
Tasks
- Develop, test, and deploy Deep Learning Computer Vision applications
- Prioritize, estimate, plan, and coordinate DevOps activities
- Design and maintain CI/CD pipelines
- Automate deployment, provisioning, and configuration
- Develop and maintain deep learning build and evaluation pipelines
- Automate deployment, testing, and monitoring processes
- Support System Integration Testing
- Ensure reliable deployments in customer environments
- Identify and track issues
- Collaborate with developers and system engineers
- Support and maintain existing customer environments
- Ensure scalability and performance
- Troubleshoot running solutions
- Evaluate customer solutions for performance improvement
- Prepare AI training footage
- Contribute to continuous improvement
- Share knowledge and adopt DevOps best practices
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- DevOps
- Linux
- Python
- Ansible
- Docker
- Grafana
- SQL
- NoSQL
- AWS
- Azure
- GCP
- CI/CD
- GitLab
- Computer Vision
- Deep Learning
- Web development
Benefits
Flexible Working
- Homeoffice
- Flexible working hours
- Bridge day regulation
Modern Equipment
- Mobile devices
Free or Subsidized Food
- Operating restaurants
Corporate Discounts
- Meal discount
Learning & Development
- Regular trainings
- Personal development
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Kapsch TrafficCom AG 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.
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KAKapsch TrafficCom AG
DevOps Engineer Deep Learning / Computer Vision(m/w/x)
Wien
from 56,000 / year
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Deploying Deep Learning Computer Vision applications for intelligent mobility solutions. CI/CD pipeline automation and deep learning build pipelines experience required. Homeoffice, flexible hours, and meal discounts.
Requirements
- Degree in Computer Science, Software Engineering, or equivalent practical experience
- Solid experience with DevOps tools and practices
- Strong Linux knowledge and scripting skills
- Solid programming/scripting skills (ideally in Python)
- Hands-on experience with Ansible, Docker, Grafana, and monitoring stacks
- Familiarity with SQL/NoSQL databases and cloud environments (AWS, Azure, GCP)
- Experience in setting up and running CI/CD pipelines (GitLab preferred)
- Good problem-solving skills, structured working style, and collaboration ability
- Strong English communication skills
- Experience with Computer Vision or Deep Learning
- Experience with web development
Tasks
- Develop, test, and deploy Deep Learning Computer Vision applications
- Prioritize, estimate, plan, and coordinate DevOps activities
- Design and maintain CI/CD pipelines
- Automate deployment, provisioning, and configuration
- Develop and maintain deep learning build and evaluation pipelines
- Automate deployment, testing, and monitoring processes
- Support System Integration Testing
- Ensure reliable deployments in customer environments
- Identify and track issues
- Collaborate with developers and system engineers
- Support and maintain existing customer environments
- Ensure scalability and performance
- Troubleshoot running solutions
- Evaluate customer solutions for performance improvement
- Prepare AI training footage
- Contribute to continuous improvement
- Share knowledge and adopt DevOps best practices
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- DevOps
- Linux
- Python
- Ansible
- Docker
- Grafana
- SQL
- NoSQL
- AWS
- Azure
- GCP
- CI/CD
- GitLab
- Computer Vision
- Deep Learning
- Web development
Benefits
Flexible Working
- Homeoffice
- Flexible working hours
- Bridge day regulation
Modern Equipment
- Mobile devices
Free or Subsidized Food
- Operating restaurants
Corporate Discounts
- Meal discount
Learning & Development
- Regular trainings
- Personal development
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Kapsch TrafficCom AG 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Kapsch TrafficCom AG
Industry
Transportation
Description
Kapsch is a global technology company specializing in Intelligent Transportation Systems, addressing mobility challenges with innovative solutions.
Not a perfect match?
- Kapsch TrafficCom AG
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