Senior Machine Learning Engineer - Platform Team

United States Digital Space LLC; Berlin; Vor Ort; EUR 100.000 - 140.000; Vollzeit

Benefits dieser Stelle

L&D budget €2000

Pension scheme

28 days paid leave

Urban Sports Club subsidy

Kita placement assistance

Subsidised office lunches

Break4me sabbatical after 3 years

Referral bonus

Zusammenfassung

SumUppers Berlin is seeking an experienced ML Platform Engineer to design and build scalable ML tooling for feature engineering, training, experimentation, monitoring, and serving.

You will simplify feature creation, standardise infrastructure, and mentor data scientists while partnering with data engineers to align ML initiatives with broader data workflows.

Qualifikationen

• More than 6 years of experience building production-grade ML infrastructure such as feature stores, training or orchestration frameworks, experimentation platforms, or model serving and monitoring systems.
• Strong proficiency in Python and ML libraries.
• Experience with ML orchestration tools such as Metaflow, and familiarity with platform tooling such as MLflow, Kubeflow, Tecton, Chronon, or Airflow. Solid understanding of batch and real-time data processing patterns, for example Spark, Flink or Kafka. Comfort working with AWS cloud native services and infrastructure tooling such as Docker, Kubernetes, or Terraform. Track record of partnering with stakeholders to turn workflow pain points into reusable, self-service platform capabilities.

Aufgaben

• Design and build ML platform tooling that supports feature engineering, training, experimentation, monitoring, and serving across both online and offline use cases.
• Simplify how data scientists create features, reducing reliance on complex Spark workflows through better abstractions or tooling.
• Standardise ML infrastructure and developer experience, replacing fragmented, ad hoc solutions with scalable, self-service components.
• Partner closely with data scientists to understand their workflows and pain points, translating them into concrete platform improvements.
• Mentor data scientists on best practices, helping drive adoption of the platform across teams.
• Collaborate with the Data Platform teams to keep ML initiatives aligned with wider data engineering work.

Kenntnisse

Python

ML libraries

Spark

Flink

Kafka

AWS

Docker

Kubernetes

Terraform

Metaflow

MLflow

Kubeflow

Tecton

Chronon

Airflow

Tools

Metaflow

MLflow

Kubeflow

Tecton

Chronon

Airflow

Spark

Flink

Kafka

Docker

Kubernetes

Terraform

Jobbeschreibung

Location: Berlin, Germany | Employment type: Office First | Team: Machine Learning Platform, Data & ML Platform

Team descriptionthe company's Machine Learning Platform team builds the foundational tools that every data scientist at the company relies on, from feature engineering and model training through to experimentation, monitoring and serving. Right now, taking a model from idea to production can take months rather than weeks, and that gap has real consequences: it slows down fraud detection, lending decisions, and other models that protect the company's business and its customers. This role matters because it tackles that bottleneck directly. You'll join a small, high-trust team of ML and ML Ops engineers who sit alongside our Data Streaming and Data Gateway teams, giving you first-hand visibility into how data moves and transforms across the business. If you enjoy turning messy, duplicated tooling into something reliable and self-service, this is a chance to shape infrastructure that touches nearly every model the company runs.

What you'll do

Design and build ML platform tooling that supports feature engineering, training, experimentation, monitoring, and serving across both online and offline use cases. Simplify how data scientists create features, reducing reliance on complex Spark workflows through better abstractions or tooling. Standardise ML infrastructure and developer experience, replacing fragmented, ad hoc solutions with scalable, self-service components. Partner closely with data scientists to understand their workflows and pain points, translating them into concrete platform improvements. Mentor data scientists on best practices, helping drive adoption of the platform across teams. Collaborate with the Data Platform teams to keep ML initiatives aligned with wider data engineering work.

You'll be great for this role if...

More than 6 years of experience building production-grade ML infrastructure such as feature stores, training or orchestration frameworks, experimentation platforms, or model serving and monitoring systems.

• Strong proficiency in Python and ML libraries.

Experience with ML orchestration tools such as Metaflow, and familiarity with platform tooling such as MLflow, Kubeflow, Tecton, Chronon, or Airflow. Solid understanding of batch and real-time data processing patterns, for example Spark, Flink or Kafka. Comfort working with AWS cloud native services and infrastructure tooling such as Docker, Kubernetes, or Terraform. Track record of partnering with stakeholders to turn workflow pain points into reusable, self-service platform capabilities.

Why you should join the company

• Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup.
• Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced.
• Enrolment onto our Virtual Stock Option programme: you will own a stake in the company's future success.
• A dedicated annual L&D budget of €2000 for your individual development, which can be used to attend conferences and/or advance your career through further education.
• A corporate pension scheme where we match up to 20% of your contributions.
• Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days.
• Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches.
• Break4me: 1-month sabbatical after 3 years of service.
• Referral Bonus: earn additional rewards by referring talented individuals to join the the company team.

About the companyBe empowered to do more that matters.

At the company, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 39 markets rely on the company as their financial partner to manage payments, finance and customer relationships.

Our commitment to small businesses is reflected in our diverse team of over 4,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify.

the company is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok.

Want to pair this job ad with video content? Check out the Global Employer Brand video library for assets you can add to this post or use in LinkedIn content.

Job Application Tip

We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don't tick every box, it's ok too because it means you have room to learn and develop your career at the company.

Find more English Speaking Jobs in Germany on Arbeitnow