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...