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DeepRec.ai is looking for an MLOps Engineer responsible for deploying and scaling machine learning models for real-time video and audio applications. You will collaborate with data scientists and engineers to build fast, reliable, and automated ML infrastructure. Key responsibilities include building ML pipelines, automating model deployments, ensuring model versioning, and optimizing inference performance, among other tasks. Candidates should have 3 years of experience in MLOps or related roles, proficiency in Python, and experience with ML frameworks and cloud platforms.

1&1 Mail & Media is looking for a (Senior) Machine Learning Engineer to contribute significantly to the digital future of Germany's largest email brands, WEB.DE and GMX. As a Machine Learning Engineer, you will be responsible for the operation and further development of our Machine Learning platform, engaging in tasks from building our internal ML ecosystem to operationalizing and deploying ML models. The ideal candidate has a degree in computer science or a similar field, deep knowledge in Python, and experience with ML frameworks like PyTorch, TensorFlow, or Scikit-Learn, along with MLOps practices.