Sr Specialist, AI Platform Engineering
Tasks
- Build infrastructure as code and automation
- Create templates pipelines and environments
- Deploy machine learning and AI models
- Design reusable platform services
- Develop secure scalable platform services
- Enable containerized training and distributed computing
- Implement CI CD for production AI systems
- Implement experiment tracking and artifact management
- Operate cloud on prem and hybrid environments
- Provide observability monitoring and logging
- Support reproducible AI workflows
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Web Services | CI/CD | Cloud platform | Distributed Systems | Docker | Experiment tracking | Git | Go | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | JavaScript | Kubeflow | Kubernetes | Logging | MLOps | Machine Learning | Model Deployment | Monitoring | Observability | Python | Spark | Terraform | Vertex AI | Web Services | “as-code”
Education
N/A
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