Job Description

Job Description
The position seeks a technical profile specialized in the implementation, design and operation of cloud solutions, with experience in artificial intelligence environments, automation and development of scalable platforms. The selected person will actively participate in projects that require a combination of technical knowledge, collaboration and effective communication with internal and client teams.
Responsibilities:
Technical implementation and operations.
Design, operation and optimization of production workloads in the cloud.
Development and implementation of scalable applications and platforms.
Automation of artificial intelligence environments through CI/CD pipelines and Infrastructure as Code.
Transfer of the developed solutions to operations and support during the launch.
Guarantee a high quality standard in all solutions and projects.
Definition and implementation of data patterns, models and MLOps for training, evaluation, deployment and operation.
Collaborate with colleagues and client teams to implement requirements.
Clear and effective communication of technical aspects within the team and towards stakeholders.
Support client projects from concept phase to release.
Availability for occasional travel within Germany or Europe, depending on assignment and client.
I work with new technologies and services, as well as with consolidated industry standards.
Learning and sharing of knowledge within the team.
Requirements:
Communication skills in German and English.
Ability to work as a team and willingness to collaborate with colleagues and client teams.
Demonstrated practical experience in successfully completed projects in artificial intelligence, cloud or software development.
Knowledge of at least one public cloud (Microsoft Azure, AWS or Google Cloud).
Experience with common programming languages ​​and tools (Python, C#, Java, PowerShell).
Knowledge and practical experience in DevOps, DevSecOps, platform engineering and Infrastructure as Code (Terraform, Bicep).
Experience with container technologies (Docker, Kubernetes, OpenShift).
Familiarity with modern machine learning frameworks and TensorFlow, PyTorch, Hugging Face and APIs.
Experience in automating cloud environments and artificial intelligence through CI/CD pipelines.
Knowledge of data management, Databricks, MLOps and data governance is an advantage.
Passion for continuous learning and innovation.

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