Redcare Pharmacy

MLOps Engineer

In short

MLOps Engineer role at Redcare Pharmacy, Europe's No.1 e-pharmacy, building, operating and improving ML/AI solutions in production. The role sits between data science and software engineering, working with cross-functional product teams on containerized services (Docker/Kubernetes), CI/CD pipelines, and ML lifecycle tooling (MLflow/Kubeflow). It requires practical MLOps/DevOps experience and solid Python engineering skills, with this being a junior-level, fully remote position.

About
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."
Role
We are seeking a MLOps Engineer (m/f/d) to build, operate, and improve ML/AI solutions in production. You will work at the intersection of data science and software engineering, helping to turn models into secure, maintainable, and reliable production services. You'll collaborate with data scientists and engineers in cross-functional product teams and contribute to the continuous improvement of our MLOps practices and platform.
Tech stack: Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git/version control, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure software development/DevOps practices.
Responsibilities
•Build and operate containerized services using orchestration platforms such as Kubernetes
•Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services
•Develop maintainable and well-tested Python code for production services, automation, and internal tooling
•Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration
•Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle
•Contribute to technical designs and architecture decisions, and participate in code reviews
•Integrate automated security checks into delivery pipelines and follow secure development and operations practices
Requirements
•Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production
•Solid software engineering skills in Python, including automated testing, version control, and code review
•Hands-on experience with Docker and container orchestration platforms such as Kubernetes
•Experience with CI/CD tools such as GitHub Actions or Jenkins
•Familiarity with ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring; experience with tools such as MLflow or Kubeflow is welcome
•A solid understanding of software architecture and secure software development and delivery practices
Benefits
•Work from Home: If your job doesn't require you to be in the office, you can be flexible about where you work – even up to 20 days a year from anywhere within the EU
•Redcare Events: We promote team cohesion through creative team events and celebrate our joint successes at regular events
•Mental Health: If you feel overwhelmed privately or professionally, you can get professional support from a psychologist quickly and easily via nilo - anonymously and free of charge
•Personal development: We support and promote your professional development through internal and external training opportunities
•Mobility: We provide our employees with a fully funded Deutschlandticket, which you can use at any time
•Sport & Health: Benefit from an M membership of the Urban Sports Club and take advantage of a wide range of sports to suit your interests

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