AI / MLOps
Build and scale AI platforms with GPU-ready Kubernetes, pipelines, feature stores, and governed model delivery.
Platform capabilities
- •GPU scheduling, autoscaling, and cost controls
- •Feature stores, data pipelines, and workflow orchestration
- •Model serving, testing, and progressive rollout
- •Observability, drift detection, and compliance auditing
Engagements
- •Platform design and build on AWS, GCP, or hybrid K8s
- •MLOps enablement and workflow modernisation
- •Model governance, supply chain security, and reviews
- •Runbooks, playbooks, and 24×7 readiness