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Paid Internship
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46148Open Positions

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Early-Career Machine Learning Engineer - Accelerator Program

sumu
Found 2 months ago
Location
Berlin, Germany
Duration (Months)
12 Months
Time
Full-time
Work Mode
On-site
Salary
3466€ per month
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • APIs
  • FastAPI
  • machine learning models
  • LLMs
  • prompt engineering
  • Git
  • CI/CD
  • cloud platforms
  • AWS
  • Docker
  • Kubernetes
  • PostgreSQL

Soft Skills

  • collaborative development
  • solving ambiguous problems
  • thinking analytically

Job Description

Build AI-powered products that impact millions of small businesses - at the start of your career. At SumUp, we build fintech solutions that empower over 4 million merchants across 37 markets to run and grow their businesses. Every day, this generates rich payments and business data - and SumUp’s next-gen AI tools turn that data into practical insights and intelligent tools that create real merchant value. The SumUp Accelerator is a two-part, up to 12-month, full-time, paid Program for early-career engineers who want to learn fast by working on real production systems. This is not a traditional internship. From day one, you’ll learn how machine learning systems are designed, shipped, and operated in real production environments - with guidance from experienced engineers and data scientists. Your Impact and What You’ll Do As part of an Accelerator squad, you’ll work alongside experienced engineers, data scientists, and product managers to: Design, build, and deploy machine learning and LLM-powered solutions in customer-facing products, learning how models are productionized through APIs, services, and scalable backend systems Develop and operate ML pipelines covering data processing, model training, evaluation, and serving Monitor, evaluate, and improve models to ensure strong performance, reliability, and robustness in production Apply software engineering best practices such as version control, CI/CD, testing, and code reviews Experiment with prompt engineering and LLM-based workflows to build secure, reliable, API-driven AI features Collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions into real merchant workflows You won’t be working on toy examples. You’ll be learning how ML actually ships.

Requirements

  • recent graduate (Bachelor’s or Master’s), final year student, or early-career professional (0–2 years’ experience) in Machine Learning, Data Science, Computer Science, or a related field.
  • good programming skills in Python, with some exposure to building APIs (e.g. FastAPI or similar)
  • Understand the basics of how machine learning models are trained, evaluated, and served in production
  • experimented with LLMs, prompt engineering, or LLM-based tools (through projects, coursework, or self-learning)
  • familiar with core software engineering concepts such as Git, basic CI/CD, and collaborative development
  • curious about cloud platforms and modern infrastructure (e.g. AWS, Docker, Kubernetes, PostgreSQL)
  • Enjoy solving ambiguous problems and thinking analytically about systems and trade-offs

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
▶Apply Now

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