(Senior) ML-Ops Engineer (f/m/d)

As a (Senior) MLOps Engineer, you will play a crucial role in building and maintaining the infrastructure and processes required to support machine learning operations. You will be responsible for preparing datasets, evaluating machine learning models using key performance indicators (KPIs), validating and deploying models, and ensuring their seamless integration into production systems (embedded and Cloud). Additionally, you will design and implement CI/CD pipelines for machine learning, automate ML operations, and utilize cloud-based solutions, such as AWS with Terraform, to enhance scalability and efficiency. This position requires a proactive individual with a strong foundation in MLOps practices, cloud platforms, and automation tools. Provide a dataset infrastructure and implement interfaces to support machine learning model development and training Deploy machine learning models into production environments and develop versioned rollout strategy on-device and in the cloud Ensure maximum availability of ML-Models in the cloud at an appropriate scale Gather and provide KPIs for a productive running model for continuous quality checks by the ML-Engineers Design, develop, and maintain CI/CD pipelines to streamline ML model development and deployment workflows Automate repetitive and manual processes involved in machine learning operations to improve efficiency Implement and manage in-cloud ML-Ops solutions, leveraging Terraform for infrastructure as code