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

As an IT system house of the Bundeswehr and IT service provider of the Bundeswehr, we offer comprehensive IT services from a single source. With over 7,000 employees, we are among the ten largest IT service providers in Germany. We are looking for authentic IT enthusiasts who want to share their passion with us, looking for challenging IT challenges and want to shape Germany's IT. Take care of our country's digital sustainability together with us. Senior Machine Learning Ops Expert (m/w/d) now and in full time at one of our BWI locations, Home Office possible. BWI's Chief Technology Office (CTO) is engaged in the strategic renewal of the performance portfolio, supported by our AI & Cloud Technology Center (TC). The Tech Center is technology-driven and follows a 'Technology First' approach. Our overarching goal is to identify, evaluate future-oriented technologies and innovations and to investigate their possibilities of use for the Bundeswehr, even if the benefits are perhaps not yet recognized or the technical implementation does not appear to be feasible.

Operation and further development of our experimental (AI) laboratories

Providing models in different environments such as NVIDIA Triton, Groq or Kubernetes

Development and optimization of ML pipelines and model training methods

Evaluation of new machine learning ops techniques

Complete study of computer science, business informatics or a comparable discipline is absolutely necessary

At least 5 years of relevant professional experience in the DevOps / MLOps environment after graduation

Funded knowledge in the deployment of Kubernetes (based on Linux), use and optimization of AI resources (GPUs)

Good programming knowledge in Python (or comparable) and Infrastructure as Code (e.g. Ansible, Terraform)

Ability to effective teamwork and interdisciplinary cooperation

High level of self-employment, outcome orientation, decision-making and communication skills

High frustration tolerance at work with technologies in alpha and beta stages

Negotiating German and very good English knowledge in word and writing absolutely necessary

Varied and socially relevant tasks, ensuring Germany's IT security and sustainability

Mobile work, alternatively, alternating or home-based teleworking can be applied

A market-oriented remuneration, a secure workplace and a premised and employee-funded occupational pension scheme

30 days of annual leave with option for individual adjustments

Much flexibility to reconcile work and private life

An individual training budget and free access to LinkedIn Learning and the BWI Academy offers

A modern notebook (HP EliteBook) and a high-end smartphone (Samsung or Apple) as well as other IT equipment to set up your workplace

Leasing your desired bike, which is discounted via a gross salary conversion

Establishment of a value credit account in order to use it in perspective, e.g., for a sabbatical

Possibility of mobile work on 20 days a year in numerous European states

Digital value card with monthly charge for free use (e.g. for grocery purchase)

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