Sr ML & AI Engineer
Tasks
- Automate release validation and infrastructure provisioning
- Build and maintain infrastructure as code for cloud reliability
- Build and operate end to end agentic AI ML pipelines
- Collaborate on requirements architecture and incident resolution
- Deploy models into production
- Implement fault tolerant pipeline orchestration
- Implement model monitoring data quality and drift detection
- Implement scalable CI CD pipelines for ML workflows
- Manage model lifecycle versioning and rollback
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Bash | CI/CD | Cloud Native | Containerization | Data Quality | Data quality monitoring | Drift Detection | Go | Infrastructure as Code | Kubernetes | Linux | MLOps | Machine Learning | Model Monitoring | Python | Quality monitoring | Version control | “as-code”
Education
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