Data & MLOps Engineer (Mid-level) m/f

- Automate infrastructure using Infrastructure as Code Terraform Ansible - Build and maintain CI CD pipelines for data and ML solutions - Build data pipelines ingestion validation transformation delivery - Collaborate with data scientists and stakeholders deliver production ready solutions - Deploy containerized workloads Docker Kubernetes managed cloud services - Develop APIs and batch services exposing data products machine learning capabilities - Implement MLOps practices experiment tracking model versioning model registries automated testing approval workflows rollback strategies - Implement observability monitoring logging metrics data quality checks drift detection alerting - Industrialize machine learning workloads packaging models automating deployments reproducible environments - Produce technical documentation and knowledge sharing Perks/Benefits: - In person collaboration flexibility work life balance