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BWI GmbH is looking for a Senior Machine Learning Ops Expert (m/w/d). The role involves operating and further developing our experimental AI labs, providing models in various environments such as NVIDIA Triton and Kubernetes, and developing and optimizing ML pipelines. You should have a degree in computer science or a related field, a minimum of 5 years of relevant experience, and proficiency in Python and Kubernetes deployment.

BWI GmbH is looking for a Senior Machine Learning Ops Expert (m/w/d) to ensure the digital future viability of our country. You will be responsible for operating and further developing our experimental AI laboratories, providing models in various environments such as NVIDIA Triton, Groq, or Kubernetes, and developing and optimizing ML pipelines and model training methods. A completed degree in computer science or a comparable field is required, along with at least 5 years of relevant professional experience in a DevOps/MLOps environment. Profound knowledge of deploying Kubernetes (on a Linux basis), utilizing and optimizing AI resources (GPUs), and good programming skills in Python (or comparable) are essential. Negotiable German and very good English skills in both spoken and written form are also necessary.

BWI GmbH is looking for a Senior Machine Learning Ops Expert to support the digital future of Germany. In this role, you will operate and develop our experimental AI labs, provide models in various environments, and develop ML pipelines. The candidate must have a degree in Computer Science or similar, 5 years of relevant experience in DevOps/MLOps, strong Kubernetes and Python skills, and fluency in German and English.

BWI GmbH is looking for a Senior Machine Learning Ops Expert (m/w/d) to ensure the digital future viability of our country. As the IT system house of the Bundeswehr and IT service provider of the federal government, we offer comprehensive IT services from a single source. With over 7,000 employees, we are one of the ten largest IT service providers in Germany. Your key responsibilities will include the operation and further development of our experimental (AI) labs, deploying models in various environments such as NVIDIA Triton or Kubernetes, and evaluating new Machine Learning Ops techniques. Ideal candidates should have a degree in computer science, at least 5 years of relevant work experience in DevOps/MLOps, knowledge of Kubernetes deployment, and programming proficiency in Python. Strong team collaboration and communication skills are essential, along with advanced German and good English proficiency.

BWI GmbH is seeking a Senior Machine Learning Ops Expert (m/w/d) to help ensure the digital future viability of our country. As an IT systems house for the Bundeswehr and a federal IT service provider, we offer comprehensive IT services from a single source. With over 7,000 employees, we are one of Germany's ten largest IT service providers. In this role, you will manage and develop our experimental AI laboratories, deploy models in environments like NVIDIA Triton, Groq, or Kubernetes, and optimize ML pipelines and model training methods. You should possess a completed degree in Computer Science or a comparable field, with a minimum of 5 years of relevant experience in DevOps/MLOps, and be proficient in deploying Kubernetes, utilizing AI resources, and have solid programming skills in Python.

BWI GmbH is looking for a Senior Machine Learning Ops Expert (m/w/d) to help ensure the digital future capability of our country. You will be responsible for operating and further developing our experimental AI labs, providing models in various environments like NVIDIA Triton and Kubernetes, and evaluating new Machine Learning Ops techniques while contributing to a team-oriented yet highly independent environment with a focus on results. A degree in Computer Science and at least 5 years of relevant experience in DevOps or MLOps is required.

BWI GmbH is looking for a Senior Machine Learning Ops Expert (m/w/d) who will be responsible for the operation and further development of our experimental AI laboratories as part of the Chief Technology Office. This role involves deploying models in various environments like NVIDIA Triton, Groq, or Kubernetes, and developing and optimizing ML pipelines and model training methods. Candidates must have a degree in Computer Science, Business Informatics, or a related field and a minimum of 5 years of relevant experience in the DevOps/MLOps environment.