Senior MLOps Platform Engineer - SageMaker, Onsite Plano

Yoh Services LLC; Plano (TX); On-site; USD 96,000 - 138,000; Full time

Benefits offered by this job

Medical, Prescription, Dental & Vision

Health Savings Account

401K Retirement Savings Plan

Direct Deposit & weekly epayroll

Certification and training

Job summary

Yoh invites an experienced MLOps Platform Engineer to design, build, and operate an enterprise ML platform on AWS SageMaker Unified Studio. The role spans migrating to a unified, governed platform, creating end-to-end pipelines, and managing model registries and deployments.

You will configure IAM, SSO, and multi-tenant domains, while ensuring observability, data cataloging, and scalable serving with real-time endpoints and batch inference.

Qualifications

• Senior ML Platform Engineer with deep SageMaker and AWS expertise.
• 10+ years software engineering focused on cloud infra or ML platform operations.
• 5+ years hands-on AWS experience with SageMaker services.
• 3+ years building production MLOps pipelines (training, versioning, deployment, monitoring).
• Experience with SageMaker Unified Studio or Studio Classic and IaC (Terraform/CDK/CloudFormation).
• IAM design for ML platforms including cross-account access and SSO/SAML.
• Model serving with real-time endpoints and batch workflows.

Responsibilities

• Design, build, and operate an enterprise ML platform on AWS SageMaker Unified Studio.
• Migrate to a unified, governed ML platform across environments.
• Create SageMaker pipelines for data, training, evaluation, and model registry.
• Set up SageMaker Model Registry, versioning, and lineage tracking.
• Configure MLflow for experiment tracking and auto-logging.
• Implement IAM, Okta SSO, and multi-tenant domain configs.
• Develop model serving endpoints and batch prediction workflows.
• Establish data catalog, lineage, and access workflows.
• Oversee platform observability with CloudWatch and Datadog.

Skills

Cloud infrastructure

ML platform operations

AWS

SageMaker

MLOps

IAM & security

CI/CD

Tools

Snowflake

Terraform

CDK

CloudFormation

Airflow

Kubernetes (EKS)

SageMaker Pipelines

MLflow

Okta SSO

SailPoint

Datadog

CloudWatch

Job description

Yoh invites an experienced MLOps Platform Engineer to design, build, and operate an enterprise ML platform on AWS SageMaker Unified Studio. The role spans migrating to a unified, governed platform, creating end-to-end pipelines, and managing model registries and deployments.

You will configure IAM, SSO, and multi-tenant domains, while ensuring observability, data cataloging, and scalable serving with real-time endpoints and batch inference.