(Senior) ML-Ops Engineer (f/m/d) - Hybrid
Karlsruhe, Baden-Württemberg, Germany
Hybrid / WFH Options
Hybrid / WFH Options
Cinemo GmbH
relevant resources locally and in the cloud. Basic ML-knowledge is a plus Strong programming skills in Python Strong verbal and written communication skills in English Responsibilities: 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 … 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 … 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 Technologies: Airflow AWS BitBucket CI/CD Cloud Embedded GitHub Support Kubeflow More ❯
Employment Type: Permanent
Salary: EUR 65,000 - 100,000 Annual
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