Senior MLOps Platform Engineer - AWS SageMaker Expert

IVIDTEK INC

Plano (TX)

On-site

USD 170,000 - 210,000

Full time

8 days ago

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Job summary

IVIDTEK INC in Plano, TX is seeking a Senior ML Platform Engineer to design, build, and operate an enterprise ML platform on AWS SageMaker Unified Studio. You will migrate a fragmented toolchain to a unified, governed platform covering the full ML lifecycle from data discovery through model deployment and monitoring.

You will set up SageMaker Unified Studio, build MLOps pipelines, manage model registry, configure MLflow, IAM, and real-time endpoints, ensuring secure cross-account access and

Qualifications

  • 10-15 years of software engineering with cloud infra or ML platform ops.
  • 5+ years hands-on AWS SageMaker exposure (Studio, Pipelines, Endpoints).
  • 3+ years building production MLOps pipelines for training, deployment, monitoring.

Responsibilities

  • Design, build, and operate an enterprise ML platform on AWS SageMaker Unified Studio.
  • Migrate tooling to a unified, governed platform with end-to-end ML lifecycle.
  • Set up SageMaker Studio, multi-environment promotion workflows, and domain roles.
  • Create MLOps pipelines, data ingestion from Snowflake, preprocessing, training, and evaluation.
  • Manage Model Registry with cross-account promotion and lineage tracking.
  • Configure MLflow tracking, IAM roles, and real-time/batch model serving.
  • Ensure observability and security across the platform (CloudWatch, Datadog).

Skills

AWS SageMaker
ML Platform
Terraform
Kubernetes
IAM/Security

Tools

Snowflake
Airflow
Datadog
Okta SSO

Job description

IVIDTEK INC in Plano, TX is seeking a Senior ML Platform Engineer to design, build, and operate an enterprise ML platform on AWS SageMaker Unified Studio. You will migrate a fragmented toolchain to a unified, governed platform covering the full ML lifecycle from data discovery through model deployment and monitoring.

You will set up SageMaker Unified Studio, build MLOps pipelines, manage model registry, configure MLflow, IAM, and real-time endpoints, ensuring secure cross-account access and

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