Senior Machine Learning Engineer Tech Foundations Global Machine Learning Platform

We are on the lookout for a Senior Machine Learning Engineer to join the Tech Foundations - Global Machine Learning Platform team. This role is a premier opportunity to define the architectural future of ML and AI Platforms and drive significant business value across Delivery Heros diverse brands (Foodora Foodpanda Glovo Talabat and more).

Your mission is to build and evolve the cutting-edge centralized platform that empowers Data Science and Machine Learning Engineering teams to rapidly reliably and safely develop deploy and manage high-impact personalized ML models for millions of customers every day.

Key Expectations & Responsibilities

• Architectural Leadership: Define the long-term technical vision roadmap and architecture for components of the Global ML Platform. Lead the design build and maintenance of scalable ML infrastructure services (e.g. Model Development Training Serving Monitoring) that manage the entire ML lifecycle at scale.

• System Ownership and Innovation: Drive complex ambiguous projects end-to-end translating pain points from cross-functional application teams into robust high-impact platform features. Proactively champion and implement new technologies and architectures to support novel use cases.

• Scalability and Resilience: Implement highly available secure and performant systems utilizing deep expertise in modern public cloud infrastructure (GCP or equivalent) leveraging Infrastructure as Code (Terraform) and container orchestration (Kubernetes Helm). Optimize solutions for performance security and efficiency on a global scale.

• Mentorship and Standards: Define and enforce engineering best practices (e.g. GitOps Software Design) by writing and sharing comprehensive technical documents and RFCs. Act as a technical mentor guiding and reviewing the work of junior and mid-level engineers to ensure code quality consistency and team-wide technical excellence.

Qualifications :

• ML Platform Mastery: At least 5 years of relevant experience in Software Engineering Machine Learning Engineering MLOPs or Platform Engineering. Proven ability to write high-quality maintainable code in modern programming languages such as Python or Golang.

• Architectural Depth: Extensive hands-on experience designing and building new complex applications and distributed systems from scratch. Proficient or Skilled in applying Software Design Microservices and Cloud Architecture Best Practices (GitOps MLOps DevOps).

• Infrastructure Expertise: Demonstrated mastery of containerization and orchestration tools (Docker Kubernetes and Helm) CI/CD pipelines and Infrastructure as Code (Terraform or equivalent).

• MLOps Ecosystem: Deep familiarity with the entire ML engineering ecosystem including Model Serving Training and Feature Engineering pipelines.

• ML Savvy: Experience with ML tools like Metaflow MLflow Argo Workflows and Jupyter Notebooks Serving Frameworks such as Triton

• Cloud Proficiency: Strong prior knowledge and hands-on experience with public cloud platforms (Google Cloud and AWS).

• Advanced Problem-Solving: Expert in technical deep-dives complex investigations debugging and Root Cause Analysis (RCA) in large-scale existing systems. Proven ability to conduct technical explorations and propose solutions based on comprehensive pros/cons analysis.

• Communication & Influence: Exceptional clarity in written and verbal English communication with experience contributing to and influencing architectural reviews and cross-team technical strategy.

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

• 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 well 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.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust let us know with an email to our Inclusion Officer at

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Remote Work :

No

Employment Type :

Full-time