MLOps Platform Engineer

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

MLOps Platform Engineer

Plano, TX – Onsite

12+ Month Contract

RESPONSIBILITIES

• 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.
• 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

• The hiring manager is looking to onboard MLOpsPlatform Engineer (SageMaker) who is expert in SageMaker (key skillset) and AWS.
• 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 Classic 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
• MLflow or equivalent experiment tracking
• SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
• Unified Studio is preferred to have but Classic (REQUIRED) - domain/project setup, blueprints, multi-tenant configuration
• Experience with SageMaker Unified Studio or Studio Classic - 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

Estimated Min Rate: $70.00

Estimated Max Rate: $100.00

What’s In It for You?

We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

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