Tech S And T-Cloud AI Platform Engineer-ISR-Senior-GDSF02
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | ARM Templates | AWS | AWS CloudFormation | Amazon Bedrock | Amazon EKS | Amazon SageMaker | Apache Airflow | Apache Kafka | Apache Spark | Autoscaling | Azure | Azure AKS | Azure Bicep | Azure Machine Learning | Azure OpenAI | Blue-Green Deployment | Blue/green | CI/CD | Canary Release | Centralized Logging | Cost Optimization | Databricks | Docker | Experiment tracking | FastAPI | Feature Store | Google Cloud | Google GKE | Google Vertex | Google Vertex AI | High Availability | IAM | Incident readiness | Infrastructure modernization | Kubeflow | Kubeflow Pipelines | Kubernetes | LLMOps | Linux | MLOps | MLflow | Machine Learning | Model Registry | Monitoring | Networking | Observability | Prefect | REST APIs | Secrets management | Storage | Telemetry | Terraform | Tracing | Vector Databases | Vertex AI | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Technology | Master of Engineering | Master of Science | PhD
Roles
AI | AI Platform Engineer | Cloud AI Platform Engineer | Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | MLOps Engineer | Platform Engineer
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