onsite
Senior MLOps Platform Engineer SageMaker - Openkyber
Devops Engineer
Senior MLOps Platform Engineer responsible for designing, building, and operating scalable machine learning pipelines on AWS SageMaker, leveraging Python, Docker, and CI/CD to deliver production-ready models.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end ML pipelines on AWS SageMaker, ensuring high availability and scalability.
- Implement CI/CD workflows for model training, testing, and deployment using AWS CodePipeline, CodeBuild, and Docker.
- Collaborate with data scientists and software engineers to translate ML models into production services.
- Monitor model performance, automate retraining triggers, and manage model versioning and lineage.
- Optimize infrastructure costs and performance through resource provisioning and spot instance usage.
Requirements
- 5+ years of experience in MLOps or ML platform engineering.
- Deep expertise with AWS SageMaker, including training, inference, and model hosting.
- Proficient in Python, Docker, and Kubernetes for containerized workloads.
- Hands‑on experience with CI/CD pipelines, Git, and automated testing frameworks.
- Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
mlopspythonawscicddocker