About the Role
Design, develop, and deploy ML models in AWS SageMaker and EKS.
Optimize ML models for real-time decisioning in high-traffic environments.
Ensure models comply with regulatory and security standards.
Build and maintain CI/CD pipelines for ML model deployments.
Automate model retraining, monitoring, and logging using AWS Lambda, Terraform, and Control-M jobs.
Implement observability tools like OpenSearch, FluentBit, Prometheus, Kibana, Grafana, and AWS CloudWatch.
Develop ETL/ELT pipelines for data preprocessing and feature engineering.
Work with AWS Redshift to process large-scale datasets for model training.
Monitor ML models running 24/7 in production, ensuring reliability and high availability.
Work closely with engineering teams to troubleshoot and optimize production systems.
Participate in an on-call rotation for urgent ML pipeline issues.
Collaborate with data scientists, decision engineers, and c...
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