MLOps Platform Engineer

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.

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