MLOps Engineer (m/f/d)

Redcare Pharmacy

14h

About The Position

Redcare Pharmacy is seeking an MLOps Engineer to build, operate, and improve machine learning and AI solutions in production. The role sits at the intersection of data science and software engineering, turning models into secure, maintainable, and reliable production services. The engineer collaborates with data scientists and engineers in cross-functional product teams and contributes to the ongoing improvement of MLOps practices and platforms.

The technology stack includes Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git and version control, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure software development and DevOps 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.
• A solid understanding of software architecture and secure software development and delivery practices.

Nice To Haves

• Experience with tools such as MLflow or Kubeflow.

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, well-tested Python code for production services, automation, and internal tooling.
• Build and improve CI/CD pipelines for ML/AI services to enable 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.

Benefits

• Flexible work location, including up to 20 days per year working from anywhere within the EU, where the role does not require office attendance.
• Team events and regular events celebrating shared successes.
• Anonymous, free, and readily accessible professional psychologist support through nilo.
• Internal and external training opportunities and support for professional development.
• Fully funded Deutschlandticket.
• M membership of Urban Sports Club.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed