Opportunity Description
Job Description
Insight Global is seeking a hands‑on AWS SageMaker Engineer to support the build‑out of a new, dedicated SageMaker environment for Wealth Management. This role is purely development and engineering focused, responsible for building, deploying, and operationalizing machine learning models and MLOps pipelines — not high‑level architecture or strategy. The ideal candidate has strong experience developing production‑ready ML solutions in AWS SageMaker, working closely with data scientists and platform teams to onboard and deploy models in a secure, regulated financial services environment.
Responsibilities
- Build and support a new AWS SageMaker instance for Wealth Management use cases
- Develop and deploy end‑to‑end ML pipelines using AWS SageMaker (training, tuning, deployment, monitoring)
- Implement hands‑on MLOps engineering, including:
○ CI/CD for ML workflows
○ Model versioning and promotion
○ Monitoring and operational support<...
Insight Global is seeking a hands‑on AWS SageMaker Engineer to support the build‑out of a new, dedicated SageMaker environment for Wealth Management. This role is purely development and engineering focused, responsible for building, deploying, and operationalizing machine learning models and MLOps pipelines — not high‑level architecture or strategy. The ideal candidate has strong experience developing production‑ready ML solutions in AWS SageMaker, working closely with data scientists and platform teams to onboard and deploy models in a secure, regulated financial services environment.
Responsibilities
- Build and support a new AWS SageMaker instance for Wealth Management use cases
- Develop and deploy end‑to‑end ML pipelines using AWS SageMaker (training, tuning, deployment, monitoring)
- Implement hands‑on MLOps engineering, including:
○ CI/CD for ML workflows
○ Model versioning and promotion
○ Monitoring and operational support<...
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