MLOps Engineer
About This Role
Create the tooling and platforms that make ML delivery repeatable observable and compliant.
Requirements
- 4+ years building ML platforms or DevOps for ML
- Experience with Kubeflow or Vertex AI pipelines
- Model registry and governance with MLflow or SageMaker
- Data versioning with DVC or LakeFS
- Feature store experience with Feast or custom platform
- CI CD templates for training and serving
- Observability for ML including drift and performance
- Infrastructure as Code with Terraform
- Containerization with Docker and GPU workloads on Kubernetes
- Security controls including secret management and audit logs
- Cost tracking for training and inference
Responsibilities
- Own ML platform roadmaps and templates
- Reduce lead time from notebook to production
- Define model lifecycle and approval gates
- Collaborate with ML and security on compliance
- Improve reliability and resource utilization
- Maintain documentation and internal training
Benefits & Perks
Ready to Apply?
Join our team and help build the future of digital products and talent placement.
Application typically takes 5-10 minutes
About NOBLESTARK
A forward-thinking technology company focused on building innovative digital products and talent placement solutions.
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