SumUp
Senior AI/ML Engineer(m/w/x)
Full-timeOn-siteSenior
Berlin
New Job?Nejo!
The AI Job Search Engine
SUSumUp
Senior Machine Learning Engineer I(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and deploying AI systems in production at a global fintech for small businesses. Expert Python and MLOps tools familiarity needed. Stake in company success, 30-day sabbatical after 3 years.
Requirements
- Bachelor’s degree in Machine Learning, Computer Science, or engineering-related field
- At least 5 years of experience as a Machine Learning Engineer
- Excellent software development engineering skills
- Experience building and deploying ML models using cloud services (AWS, GCP, or Azure)
- Expert in Python and familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Langfuse)
- Experience with machine learning workflow orchestration and algorithms optimisation
- Good understanding of data pipelines, APIs, containers (Docker), and version control (Git)
- Excellent analytical and problem-solving skills
- Working proficiency and communication skills in verbal and written English
Tasks
- Architect and design AI solutions
- Develop and deploy AI systems in production
- Ensure reliability and scalability of AI solutions
- Collaborate with data scientists and product managers
- Enhance customer experience through AI solutions
- Maintain ML infrastructure and pipelines
- Optimize machine learning models for accuracy
- Collect and preprocess large text datasets
- Embrace software development best practices
- Integrate machine learning solutions into applications
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Python
- MLflow
- Kubeflow
- Airflow
- Langfuse
- Docker
- Git
Benefits
Learning & Development
- Dedicated annual L&D budget
Competitive Pay
- Stake in company success
Retirement Plans
- Corporate pension scheme
Workation & Sabbatical
- 30-day sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Other Benefits
- Relocation assistance
Free or Subsidized Food
- Subsidised office lunches
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SumUp 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?
- Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year - FREENOW
Senior Machine Learning Software Engineer(m/w/x)
Full-timeOn-siteSeniorHamburg, Berlin - YOC
Senior Machine Learning Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Perplexity
Senior Machine Learning Engineer - Search(m/w/x)
Full-timeOn-siteSeniorBerlin
SUSumUp
Senior Machine Learning Engineer I(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and deploying AI systems in production at a global fintech for small businesses. Expert Python and MLOps tools familiarity needed. Stake in company success, 30-day sabbatical after 3 years.
Requirements
- Bachelor’s degree in Machine Learning, Computer Science, or engineering-related field
- At least 5 years of experience as a Machine Learning Engineer
- Excellent software development engineering skills
- Experience building and deploying ML models using cloud services (AWS, GCP, or Azure)
- Expert in Python and familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Langfuse)
- Experience with machine learning workflow orchestration and algorithms optimisation
- Good understanding of data pipelines, APIs, containers (Docker), and version control (Git)
- Excellent analytical and problem-solving skills
- Working proficiency and communication skills in verbal and written English
Tasks
- Architect and design AI solutions
- Develop and deploy AI systems in production
- Ensure reliability and scalability of AI solutions
- Collaborate with data scientists and product managers
- Enhance customer experience through AI solutions
- Maintain ML infrastructure and pipelines
- Optimize machine learning models for accuracy
- Collect and preprocess large text datasets
- Embrace software development best practices
- Integrate machine learning solutions into applications
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Python
- MLflow
- Kubeflow
- Airflow
- Langfuse
- Docker
- Git
Benefits
Learning & Development
- Dedicated annual L&D budget
Competitive Pay
- Stake in company success
Retirement Plans
- Corporate pension scheme
Workation & Sabbatical
- 30-day sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Other Benefits
- Relocation assistance
Free or Subsidized Food
- Subsidised office lunches
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SumUp 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
SumUp
Industry
FinancialServices
Description
The company is a leading global fintech company committed to leveling the playing field for small businesses.
Not a perfect match?
- SumUp
Senior AI/ML Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year - FREENOW
Senior Machine Learning Software Engineer(m/w/x)
Full-timeOn-siteSeniorHamburg, Berlin - YOC
Senior Machine Learning Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Perplexity
Senior Machine Learning Engineer - Search(m/w/x)
Full-timeOn-siteSeniorBerlin