Tech S And T-Cloud AI Platform Engineer-ISR-Senior-GDSF02
Summary
Senior engineer building and scaling cloud-native AI platforms, automating MLOps/LLMOps pipelines, and containerizing workloads with Kubernetes and FastAPI.
- Architect cloud native AI foundations
- Automate infrastructure provisioning with Infrastructure-as-Code
- Build and scale enterprise AI platforms
- Build operationalization pipelines for model training to deployment
- Containerize and orchestrate workloads with Kubernetes
- Create reusable platform services for model hosting
- Design AI infrastructure for hybrid and multi cloud
- Develop deployment frameworks using REST services and FastAPI
- Enforce responsible AI controls
- Establish AI platform observability
- Govern data flows and feature engineering pipelines
- Implement model drift and service performance monitoring
- Implement release engineering with canary and blue green deployments
- Implement secure and resilient AI runtime environments
- Integrate AI platforms with batch and real time data pipelines
- Lead CI CD pipelines for AI platforms
- Manage cross-functional delivery teams
- Mentor consultants and build team capabilities
- Oversee AI platform transformation programs end to end
- Provide technical guidance to CxOs and stakeholders
- Set up MLOps and LLMOps capabilities