
MLOps Engineer
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in Germany.
• Design, implement, and enhance ML/AI solutions in a production environment.
• Collaborate with data scientists and engineers within cross-functional product teams.
• Aid in the ongoing enhancement of MLOps practices and the related platform.
• Construct and manage containerized services utilizing orchestration platforms like Kubernetes.
• Diagnose production challenges and enhance the reliability, performance, and cost-effectiveness of ML/AI services.
• Create maintainable and thoroughly tested Python code for production services, automation, and internal tools.
• Develop and refine CI/CD pipelines for ML/AI services.
• Execute data and model versioning, validation, and observability throughout the ML lifecycle.
• Contribute to the formulation of technical designs and architectural decisions.
• Engage in code review processes.
• Incorporate automated security checks into delivery pipelines and adhere to secure development and operational practices.
• Proven experience in MLOps, DevOps, platform engineering, or software engineering, particularly in deploying and managing ML/AI solutions in production.
• Strong software engineering capabilities in Python, encompassing automated testing, version control, and code review.
• Practical experience with Docker and container orchestration platforms such as Kubernetes.
• Familiarity with CI/CD tools like GitHub Actions or Jenkins.
• Understanding of ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring.
• Experience with tools such as MLflow or Kubeflow is appreciated.
• Solid grasp of software architecture and secure software development and delivery methodologies.
• Flexible work location options when office presence is not necessary, including up to 20 days per year from anywhere within the EU.
• Engaging team events and regular celebrations of success.
• Anonymous and complimentary professional psychological support via nilo.
• Access to internal and external training opportunities along with professional development assistance.
• Fully funded Deutschlandticket.
• Urban Sports Club M membership.
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