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Job Details

Skills

SageMaker
MLOps Platform Engineer
Cloud Infrastructure
AWS
MLOps
Studio Classic
Unified Studio
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Amazon Web Services

Summary

AVA Consulting is seeking a MLOps Platform Engineer (SageMaker)

Location: Plano, TX

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.

Company Background: Our client, a major employer in the area, is looking for a MLOps Platform Engineer (SageMaker) to be part of its team in its North American operations.

Job Description:

Client''''''''s Enterprise Platforms team is looking for a Senior ML Platform Engineer to design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio.
You will migrate the organization from a fragmented ML toolchain to a unified, governed platform on AWS Landing Zone 2, covering the full ML lifecycle from data discovery through model deployment and monitoring.

Responsibilities:

Set up SageMaker Unified Studio platform: domain configuration, project provisioning, persona-based roles, and multi-environment (Dev, Prod-UAT, Prod) promotion workflows
Build MLOps pipelines using SageMaker Pipelines: data extraction from Snowflake, preprocessing, training, evaluation, and model registration
Manage SageMaker Model Registry: cross-account model promotion, versioning, immutability, and lineage tracking
Configure MLflow experiment tracking: auto-logging of parameters, metrics, and artifacts
Set up identity and access management: Okta SSO, SailPoint entitlements, persona-based execution roles, service roles for pipelines
Build model serving: real-time SageMaker endpoints and batch prediction workflows
Set up model monitoring: data drift, model drift, performance degradation detection
Configure data catalog: searchable datasets, access-level visibility, access-request workflows, lineage
Own platform operations: observability (CloudWatch, Datadog), logging, custom images, instance availability

Requirements:

Must Have Skills:

10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations
5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio, Pipelines, Model Registry, Endpoints, Feature Store)
3+ years building and operating production MLOps pipelines training, versioning, deployment, monitoring, rollback
Experience with SageMaker Unified Studio or Studio Classic domain/project setup, blueprints, multi-tenant configuration
Infrastructure-as-Code with Terraform, CDK, or CloudFormation
IAM design for ML platforms execution roles, service roles, cross-account access, Lake Formation, SSO/SAML
MLflow or equivalent experiment tracking
SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
Model serving real-time endpoints, batch transform, auto-scaling, endpoint monitoring
Snowflake as a data source for ML pipelines
Kubernetes (EKS) and container orchestration
Networking and security VPC, security groups, private endpoints, cross-account connectivity

Preferred Skills:

SageMaker Unified Studio domain provisioning, custom blueprints, project standardization
SageMaker Feature Store for online/offline feature management
SageMaker Model Monitor data quality checks, bias detection, drift detection
AWS Machine Learning Specialty certification

NOTE: Interested Candidates can apply by sending their Updated Resume and Contact Details.

Ron Tolson

AVA Consulting

Fax:

Web:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10125450
Position Id: AVA1497588
Posted 30+ days ago

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Ron Tolson

Recruiter @ AVA Consulting

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MLOps Platform Engineer (SageMaker)

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Ron Tolson

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