MLOps Platform Engineer (SageMaker)

Back to Jobs
IntelliPro Group logo

MLOps Platform Engineer (SageMaker)

IntelliPro Group

100–102 / Month

Location

Plano, TX

Experience

Senior

Posted

Jul 30, 2026

Apply by

August 29, 2026

Applicants

0

Early applicantEasy applyContractHybrid

Job Description

Job title: MLOps Platform Engineer (SageMaker) Location: Plano TX - Hybrid Duration: 12-Month Contract (Extension Possible) Pay Rate: $100/hr. - $102/hr. on W2 Job Summary - We are seeking an experienced MLOps Platform Engineer to support the Enterprise Analytical Data & Integration Team. - The ideal candidate will have strong expertise in AWS and Amazon SageMaker, with hands-on experience building and managing production MLOps platforms and ML lifecycle automation. Key Responsibilities - Build and maintain MLOps platforms using AWS SageMaker. - Develop and manage ML pipelines for training, deployment, monitoring, and model versioning. - Configure and support SageMaker Studio Classic (required) and Unified Studio (preferred). - Manage SageMaker Pipelines, Model Registry, Feature Store, Endpoints, and MLflow. - Collaborate with data scientists and engineering teams to deliver scalable ML solutions. Required Qualifications - 10–15 years of software engineering experience in cloud infrastructure or MLOps. - 5+ years of hands-on AWS experience with deep expertise in Amazon SageMaker. - 3+ years of production MLOps pipeline experience. - Experience with SageMaker Studio Classic (mandatory), Unified Studio (preferred), MLflow, and Airflow or AWS Step Functions. - Strong communication and problem-solving skills. Must-Have Skills - AWS - Amazon SageMaker (Studio Classic) - SageMaker Pipelines - Model Registry & Feature Store - MLflow - Airflow / AWS Step Functions - Production MLOps Pipelines About Us: 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.

Key Responsibilities

  • Build and maintain MLOps platforms using AWS SageMaker.
  • Develop and manage ML pipelines for training, deployment, monitoring, and model versioning.
  • Configure and support SageMaker Studio Classic and Unified Studio.
  • Manage SageMaker Pipelines, Model Registry, Feature Store, Endpoints, and MLflow.
  • Collaborate with data scientists and engineering teams to deliver scalable ML solutions.

Skills Required

AWSAmazon SageMakerSageMaker Studio ClassicSageMaker PipelinesModel RegistryFeature StoreMLflowAirflowAWS Step FunctionsProduction MLOps PipelinesCommunicationProblem solvingSageMaker Unified Studio

Benefits

  • Comprehensive benefits package

App exclusive · Free

Smart Job AI Coach

Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.

Interview readiness

See how prepared you are and what to improve for each role.

Personalized tips

Actionable suggestions based on your profile and the job.

After you apply

Keep coaching momentum from job detail through application success.

Get Smart Job AI Coach in the appFree on iOS and Android