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Leading Operations AI team for AI Assistant and AI Translation products at global fintech for small businesses. 7+ years ML/AI engineering experience and expert Python proficiency required. Virtual Stock Option programme, 28 days paid leave, 20% pension match.
Requirements
- 7+ years of experience as a Machine Learning Engineer or AI Engineer
- Expert-level Python proficiency
- Strong previous experience as an ML or AI engineer
- Experience using GenAI / LLM API
- Experience building and deploying ML Models using Cloud platforms (AWS, GCP, or Azure)
- Familiarity with MLOps tools (e.g., MLFlow, Kubeflow, Airflow, Langfuse)
- Good understanding of data pipelines, API design, containers (Docker), and version control (Git)
- Experience building, maintaining, and scaling APIs
- Team player attitude
- Self-drive, proactiveness, and high adaptability
- Passion for AI Technology
Tasks
- Lead the Operations AI team in developing scalable ML/AI solutions
- Architect, design, and deploy AI systems in production environments
- Take ownership of main AI products like the AI Assistant and AI Translation
- Develop and maintain ML infrastructure and data processing pipelines
- Optimize and fine-tune machine learning models for high-quality input
- Embrace software development best practices, including version control and CI/CD
- Collaborate with Data Scientists, Product Managers, and Developers to enhance customer experience
- Rapidly master existing AI assistant infrastructure for behavior improvements
- Lead the pilot creation for the Voice Assistant and design new channel integrations
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- GCP
- Azure
- MLFlow
- Kubeflow
- Airflow
- Langfuse
- Docker
- Git
Benefits
Competitive Pay
- Virtual Stock Option programme
Learning & Development
- Annual L&D budget of €2000
Retirement Plans
- Corporate pension scheme matching 20%
More Vacation Days
- 28 days of paid leave
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral Bonus
Not a perfect match?
- SumUpFull-timeOn-siteSeniorBerlin
- EY
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Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year
Leading Operations AI team for AI Assistant and AI Translation products at global fintech for small businesses. 7+ years ML/AI engineering experience and expert Python proficiency required. Virtual Stock Option programme, 28 days paid leave, 20% pension match.
Requirements
- 7+ years of experience as a Machine Learning Engineer or AI Engineer
- Expert-level Python proficiency
- Strong previous experience as an ML or AI engineer
- Experience using GenAI / LLM API
- Experience building and deploying ML Models using Cloud platforms (AWS, GCP, or Azure)
- Familiarity with MLOps tools (e.g., MLFlow, Kubeflow, Airflow, Langfuse)
- Good understanding of data pipelines, API design, containers (Docker), and version control (Git)
- Experience building, maintaining, and scaling APIs
- Team player attitude
- Self-drive, proactiveness, and high adaptability
- Passion for AI Technology
Tasks
- Lead the Operations AI team in developing scalable ML/AI solutions
- Architect, design, and deploy AI systems in production environments
- Take ownership of main AI products like the AI Assistant and AI Translation
- Develop and maintain ML infrastructure and data processing pipelines
- Optimize and fine-tune machine learning models for high-quality input
- Embrace software development best practices, including version control and CI/CD
- Collaborate with Data Scientists, Product Managers, and Developers to enhance customer experience
- Rapidly master existing AI assistant infrastructure for behavior improvements
- Lead the pilot creation for the Voice Assistant and design new channel integrations
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- GCP
- Azure
- MLFlow
- Kubeflow
- Airflow
- Langfuse
- Docker
- Git
Benefits
Competitive Pay
- Virtual Stock Option programme
Learning & Development
- Annual L&D budget of €2000
Retirement Plans
- Corporate pension scheme matching 20%
More Vacation Days
- 28 days of paid leave
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral Bonus
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 Machine Learning Engineer I(m/w/x)
Full-timeOn-siteSeniorBerlin - EY
Senior ML/AI Developer/Engineer(m/w/x)
Full-timeOn-siteSeniorDüsseldorf, Berlin - 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 - XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year