Senior Machine Learning Ops Engineer (w/m/d)

As a primary digitization partner of the Bundeswehr, we provide stable, safe and efficient IT services in Germany and abroad, from basic operations to the field close to the application and thus contribute to the continuous increase in the leadership and operational capacity of the Bundeswehr. With over 7,700 colleagues, we operate and modernise one of the largest and most complex IT infrastructures in Germany. We are looking for responsible IT specialists who are convinced that the Bundeswehr-IT will further develop in challenging digitalization projects and thus contribute to Germany's security. Together with us, you are worried about the future digital capability of the Bundeswehr. Senior Machine Learning Ops Engineer (w/m/d) from now on and in full time at our BWI location in Berlin, alternatively in Munich. BWI's Chief Technology Office (CTO) is responsible for the strategic renewal of the performance portfolio. This includes the development and operation of the technical AI service by the Team Technology Management & Innovation (TM&I). The team implements a holistic DevSecOps approach along the entire Technologiestack. Our goal is to provide employees of BWI AI-based services and solutions and to establish a AI framework in the long term.

Design and implementation of CI/CD pipelines for training, validation and deployment of AI models (ML-CI/CD)

Construction and administration of the 'Model Registry' to version and track trained models

Implementation of tools for experiment tracking (e.g. MLflow, Weights & Biases)

Building an API Management Strategy and Platform

Development of automation workflows for model-serving on Kubernetes, including scaling and monitoring

Ensuring the reproducibility of training courses and deployments

Close cooperation with DevOps engineers to define the required infrastructure requirements (e.g. special Docker images, Kubernetes operators such as KubeFlow)

Complete Master's degree in Computer Science, Mathematics or a comparable discipline

At least 5 years of relevant professional experience required after completion of the course

Experience with CI/CD tools (e.g. GitLab CI, Jenkins, ArgoCD) and their adaptation for ML workflows

Experience with Kubernetes (On-Prem) and MLOps Frameworks such as Kubeflow, MLflow or TFX

Experience with API design such as REST, GraphQL, gRPC, MQTT or WebSockets

Experience with monitoring tools like Prometheus and Grafana

Good scripting skills in Python, Ruby, Bash or YAML

German language skills and very good English knowledge in word and writing

Through varied and socially relevant tasks, we ensure the smooth operation of IT and the digitization of the Bundeswehr

The goal is for us. For us, an appreciative approach and a great team spirit are elementary

The BWI offers a market-oriented remuneration, a secure workplace and a premised and employee-funded occupational pension scheme

You start with 30 days of annual holiday with option for individual adjustments

Our Benefit app provides you with a monthly balance and tax relief on tickets for the ÖPNV

We allow you flexibility to reconcile work and private life, for example through mobile work or trust work time and the long-term construction of a value balance account for e.g. a Sabbatical

We support your professional and personal training through individual measures and free access to LinkedIn Learning

In addition to the possibility to lease a job bike, you benefit from numerous offers in the fields of sports and nutrition

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