Requirements

Software Engineering Expertise: At least 4 years of experience in software engineering with hands-on experience with modern programming languages such as Python, Java, or Golang.
Technical Evaluation: Experience in tech explorations to evaluate technologies for business problems and proposing solutions based on comprehensive pros and cons analysis.
Proof of Concept: Prior experience building proof of concepts for solving system design challenges using open-source tools.
Application Development: Experience building new applications from scratch.
System Analysis: Experience in deep-diving into existing systems for investigations and improvements.
ML Engineering Experience: Prior experience in ML engineering or MLOps.
Communication Skills: Fluency in English. Clarity in communication, both written and verbal.

Nice to Have

Prior knowledge of public cloud platforms (Google Cloud or equivalent).
Experience with CI/CD pipelines and Infrastructure as Code (Terraform or equivalent).
Familiarity with the ML engineering ecosystem, such as Model serving, training, and feature engineering pipelines.
Knowledge of containerization and orchestration tools like Docker, Kubernetes, and Helm.
Experience with ML tools like Metaflow, MLflow, Argo Workflows, and Cloud Notebooks.

Build the infrastructure that powers personalized experiences for millions of customers across the globe, every single day.
Design, build and maintain a scalable ML infrastructure to manage the entire ML lifecycle at scale.
Develop Tooling: Build and enhance ML engineering tooling for Model Development, Model Workbench, Model Training, Model monitoring, and Model serving.
Collaborate and Optimize: Work closely with data scientists and data engineers to understand their needs and build solutions that optimize their workflows.
Leverage Cloud: Utilize modern technologies and public cloud infrastructure to build highly available systems for multiple teams.
Scale and Perform: Build solutions at scale, optimizing for performance and efficiency.
Address Pain Points: Understand the pain points of application teams and translate them into robust platform features.
Innovate and Suggest: Proactively suggest how the team can leverage new technologies and architectures to support new use cases.

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.