The Role
Design, build, and operate a SageMaker-based MLOps platform: configure Studio, provision projects, create SageMaker Pipelines for data-to-model workflows, manage model registry and promotion, enable MLflow tracking, implement IAM/SSO, build serving and monitoring (real-time and batch), configure data cataloging, and maintain platform observability and operations.
Summary Generated by Built In
Job Title: MLOps Platform Engineer (SageMaker)
Duration: 12 Months
Location: Plano, TX
Pay Rate: $90/hr - $102/hr on W2
What you’ll be doing
Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 skills
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.
Duration: 12 Months
Location: Plano, TX
Pay Rate: $90/hr - $102/hr on W2
What you’ll be doing
- 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
Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 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
- 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
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.
Skills Required
- 10-15 years 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, AWS CDK, or CloudFormation
- IAM design for ML platforms including execution roles, service roles, cross-account access, Lake Formation, SSO/SAML
- Experience configuring Okta SSO and SailPoint entitlements for platform access
- Experience with MLflow or equivalent experiment tracking (auto-logging of parameters, metrics, artifacts)
- SageMaker Pipelines or similar workflow orchestration experience (Airflow, Step Functions)
- Model serving experience: real-time SageMaker endpoints, batch transform, auto-scaling, endpoint monitoring
- Experience using Snowflake as a data source for ML pipelines
- Kubernetes (EKS) and container orchestration experience
- Networking and security experience: VPC, security groups, private endpoints, cross-account connectivity
- Platform observability and logging experience (CloudWatch, Datadog), custom images, instance availability management
- SageMaker Unified Studio domain provisioning, custom blueprints, project standardization
- SageMaker Feature Store for online/offline feature management
- SageMaker Model Monitor for data quality, bias detection, and drift monitoring
- AWS Machine Learning Specialty certification
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The Company
What We Do
IntelliPro Group Inc. is one of the fastest growing IT services and HR solutions companies in Americas & APAC. We provide comprehensive IT services to help clients with IT Strategic Planning, Implementation, Deployment, IT Support on Artificial Intelligence, Big Data, Cloud Computing, Mobile Application Development, Data Mining and Business Intelligence, Enterprise Data Warehouse, and more. Besides our established IT services, our new business now is quickly extending to one-stop HR Solution Services, including Oversea Branch Setup Consulting, Compensation & Benefits Policy Consulting, Payroll Management Service, Talent Recruiting, and Employer Branding to satisfy our clients’ fast business expansion requirement. We have built our business on our company-wide commitment to continually overdeliver on the high expectations of our clients, employees, and business partners. The secret to our success is that our unified team works harder, faster, smarter, and more collaboratively than anyone else in the talent acquisition business. In addition to the immense talent and proprietary technology, IntelliPro Group is proud to offer continual professional development and extraordinary benefits to both consultants and full-time employees.
