MLOps Engineer (m/f/d)

We are a department specializing in the development of intelligent systems and data-driven software solutions. Our goal is to create innovative products and services through the use of artificial intelligence (AI) and machine learning (ML) that efficiently solve real problems. You are responsible for the construction, automation and scaling of machine learning pipelines in complex AI environments and develop and maintain CI/CD processes for ML models You take over the monitoring, logging and performance optimization of ML workloads Working closely with our Data Scientists in the production of models You implement MLOps standards for versioning, reproducibility and governance and ensure data quality and automation of training and deployment processes The evaluation of new MLOps tools and technologies is one of your tasks

You have a degree or master's degree in the fields of computer science, artificial intelligence, mathematics, physics or in a comparable field. In addition, you must provide the willingness to carry out an extended safety review. This requires that your residence has been in the Federal Republic of Germany or a Member State of the EU for at least five years. Remarkable are: You bring sound knowledge in Python and common ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) with You also have experiences with containerization and orchestration (Docker, Kubernetes) In addition, you will bring expertise in CI/CD tools (GitLab CI, Jenkins, ArgoCD), experience with cloudnative AI platforms, understanding of DevOps principles, infrastructure as code (such as Terraform) and experience in monitoring ML systems (Prometheus, Grafana, MLflow) with In addition, you have knowledge of accessibility within the meaning of WC AG 2.1 and WCAG 2.2 AA i. V. with the barrier-free information technology regulation (BITV 2.0) as well as the suitability for use in accordance with DIN EN ISO 9241 You also have the willingness to spend several days on business trips to European and non-European countries Very good German and English skills are of course for you Analytical thinking, innovative ability, team skills and good communication skills complete your profile

A safe and meaningful workplace – even in times of crisis Mobile work and an optimal work-life balance in full time or part time Cooperation with family services Numerous training and development possibilities Various sports and health offers Income pension, annual special payments and cash benefits We want you to do a good job. The framework conditions must be in line with this. You work in sensitive security areas at the heart of the North Rhine-Westphalia police. Payment: Our payment is based on the collective agreement for the public service of the countries (TV-L). A grouping up to and including pay group 13 TV-L is possible. .