CI/CD for ML Pipelines (Automated Deployments) by MLOpsCrew

With MLOpsCrew’s MLOps Foundations package, you get a fully automated, production-ready CI/CD setup tailored for ML teams on AWS. We integrate GitHub Actions, AWS CodePipeline, Amazon SageMaker, and ECR to enable continuous training, validation, containerization, and deployment. Ideal for early-stage AI startups or scale-up teams, this package ensures reproducibility, faster iteration cycles, and a clean handover from data science to engineering.

Key Benefits

• Manual Deployment Bottlenecks: Eliminate time-consuming manual model deployments that slow down your AI initiatives
• Scaling Challenges: Enable your data science team to deploy models independently without engineering dependencies
• Quality Control: Implement automated testing and validation before models reach production