OVERVIEW:

As an MLOps Engineer at Aleph Alpha GmbH, you will play a crucial role in bridging the gap between machine learning and production systems. You will be responsible for designing, deploying, and maintaining robust ML infrastructure to support scalable AI applications. If you are passionate about optimizing AI workflows, building scalable ML pipelines, and driving automation, this is your opportunity to make a significant impact in a fast-paced, cutting-edge environment.

• Design, build, and optimize scalable and automated ML pipelines for training.
• Deploy, monitor, and manage ML models in production across cloud and on-premise environments.
• Collaborate with cross-functional teams, including ML researchers, data engineers, and software developers, to streamline AI model lifecycle management.
• Architect and implement CI/CD pipelines for ML models, ensuring efficient and reliable deployment.
• Optimize and automate ML workflows, from data ingestion to real-time inference.
• Develop monitoring and logging systems to track model performance, detect drift, and ensure reliability.
• Ensure compliance and security of ML systems by implementing best practices in IAM, data privacy, and governance.
• Work with containerization technologies (Docker, Kubernetes) to deploy and scale ML models effectively.
• Continuously evaluate and integrate emerging MLOps tools to enhance productivity and scalability.