MLOps Engineer (m/f/d)

Description

The team is hiring an MLOps Engineer to build, run and improve ML and AI systems in live use.

The role sits between data science and software engineering. You will help turn models into production services that are secure, easy to maintain and dependable.

You will work with data scientists and engineers in cross-functional product teams and help shape how the company approaches MLOps.

Day-to-day tools and practices include Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure DevOps.

The company is Europe's No.1 e-pharmacy.

Responsibilities

• Run containerised services on orchestration platforms such as Kubernetes.
• Investigate production issues and make ML and AI services more reliable, faster and cheaper to run.
• Write tested, maintainable Python for production services, automation and internal tools.
• Improve CI/CD pipelines so ML and AI services can be tested, deployed and iterated on reliably.
• Set up data and model versioning, validation and observability so results stay intact and reproducible across the ML lifecycle.
• Help shape technical designs and architecture decisions, and take part in code reviews.
• Add automated security checks to delivery pipelines and apply secure development and operations practices.

Requirements

• Hands-on experience in MLOps, DevOps, platform engineering or software engineering, including deploying and running ML and AI solutions in production.
• Strong Python skills, including automated testing, version control and code review.
• Practical experience with Docker and container orchestration platforms such as Kubernetes.
• Experience with CI/CD tools such as GitHub Actions or Jenkins.
• Knowledge of the ML lifecycle: packaging, versioning, validating, deploying and monitoring models. Experience with MLflow or Kubeflow is welcome.
• A solid grasp of software architecture and secure software development and delivery.

Conditions

Where the job does not require office attendance, you can choose where you work, including up to 20 days a year from anywhere in the EU.

Benefits

• A fully funded Deutschlandticket for your commute, usable at any time.
• An M membership of Urban Sports Club, giving access to a wide range of sports.
• Free, anonymous support from a psychologist through nilo when things feel overwhelming, privately or at work.
• Internal and external training to support your professional development.
• Regular team events and celebrations of joint successes.