MLOps Platform Engineer

Yoh, A Day & Zimmermann Company; Plano (TX); On-site; USD 96,000 - 138,000; Full time

Benefits offered by this job

Medical benefits

401K retirement plan

HSA

Referral programs

Certification & training opportunities

Job summary

Yoh, a Day & Zimmermann company, is seeking an experienced MLOps Platform Engineer to design and operate a cloud-based ML platform on AWS SageMaker. The role focuses on unifying a fragmented toolchain into a governed, scalable environment across multiple dev/prod environments.

You will implement SageMaker Pipelines, model registry, endpoints, and monitoring, while ensuring secure IAM and cross‑account access. This is an onsite Plano, TX contract role with strong growth opportunities.

Qualifications

• 10–15 years of software engineering experience focused on cloud infrastructure or ML platform operations.
• 5+ years hands-on with AWS, including deep SageMaker expertise (Studio Classic/Unified) and Pipelines.
• 3+ years building and operating production MLOps pipelines (training, versioning, deployment, monitoring).
• Experience with SageMaker Unified Studio or Studio Classic domain/project setup and multi-tenant configuration.
• Experience with MLflow or equivalent experiment tracking.
• IaC with Terraform, CDK, or CloudFormation.
• IAM design for ML platforms – execution roles, service roles, cross-account access, SSO/SAML.

Responsibilities

• Design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio.
• Migrate to a unified, governed platform on AWS Landing Zone 2.
• Develop MLOps pipelines covering data, training, evaluation, and model registration.
• Configure SageMaker Studio domains, projects, and multi-environment promotion workflows.
• Set up identity and access management and model serving endpoints.
• Establish model monitoring, data drift detection, and lineage tracking.
• Maintain platform observability and security across the stack.

Skills

SageMaker expertise

MLOps pipelines

Cloud infrastructure

Production systems

Tools

SageMaker

AWS

Airflow

Step Functions

Terraform

CDK

CloudFormation

Kubernetes (EKS)

Snowflake

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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