Senior ML Engineer (m/f/d) Berlin Posted on 01.09.2026

Redcare Pharmacy; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Redcare Pharmacy in Berlin is seeking a Senior Machine Learning Engineer to help build our Retail Media product from the ground up. You will design, develop, and operate production-grade ML systems that create relevant advertising experiences and measurable value for brands and retailers.

You will work in a high-impact team with Data & AI colleagues and collaborate closely with product, engineering and business stakeholders across the full ML lifecycle—from problem framing and data understanding

Qualifikationen

• Experience designing and operating production-grade ML systems.
• Strong understanding of the ML lifecycle and data understanding.
• Ability to collaborate with product, engineering and business stakeholders.

Aufgaben

• Design, develop and operate production-grade ML systems for Retail Media.
• Lead the full ML lifecycle from problem framing to deployment and monitoring.
• Collaborate with Data & AI teams and cross-functional partners to deliver scalable ML solutions.

Kenntnisse

Machine Learning

Software Engineering

ML Lifecycle

Production Systems

Jobbeschreibung

About Redcare Pharmacy:
As Europe’s No.1 e-pharmacy, Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy, collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values, join us and begin your #Redcareer today.

About the role:
As a Senior Machine Learning Engineer, you will help build our new Retail Media product from the ground up. You will design, develop, and operate production-grade machine learning systems that create relevant advertising experiences for customers and measurable value for brands and retailers.
You will work in a high-impact product team, working with Data & AI colleagues as well as collaborating closely with product, engineering, and business stakeholders. Your work will cover the full ML lifecycle - from problem framing and data understanding to model development, deployment, monitoring, and continuous improvement.
This role is suited for someone who combines strong machine learning expertise with solid software engineering practices and enjoys turning ambiguous product opportunities into reliable, scalable systems.