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MLOps Platform Engineer (SageMaker)

AVA Consulting

Plano, Texas • 3d ago

Easy Apply

Contract

Depends on Experience

MLOps Platform Engineer

Yoh - A Day & Zimmerman Company

Plano, Texas • Today

Easy Apply

Full-time

Competitive

MLOps Platform Engineer (SageMaker)

TPI Global (formerly Tech Providers, Inc.)

Plano, Texas • Today

Full-time

Lead MLOps Engineer - Fraud Detection Platform

SmallArc, Inc

Dallas, Texas • 6d ago

Easy Apply

Full-time, Third Party

100,000

Senior MLOps Platform Engineer {S}

Stratagem Group

Remote or Colorado Springs, Colorado • Today

Full-time

Senior MLOps Platform Engineer {S}

ARKA Group

Remote or Colorado Springs, Colorado • Today

Full-time

Lead Software Platform Engineer, MLOps

TetraScience

Remote • Today

Full-time

USD 200,000.00 - 270,000.00 per year

Senior ML Platform Engineer

Toyota Motor Sales

Plano, Texas • Today

Full-time

Senior ML Platform Engineer

Toyota Motor North America

Plano, Texas • Today

Full-time

MLOps Engineer / Unicorn Startup / Remote

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$230000 - $250000

Senior MLOps Engineer (Remote)

Kohls Department Stores

Remote or Menomonee Falls, Wisconsin • Today

Full-time

Senior MLOps Engineer II (AI Native)

Life360

Remote • Today

Full-time

USD 148,000.00 - 216,000.00 per year

Platform Engineer

DTCC

Hybrid in Coppell, Texas • Today

Full-time

Senior Platform Engineer

Quantiphi Inc.

Remote • Today

Full-time

Machine Learning Platform Engineer

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 155,000.00 - 185,000.00 per year

Platform Engineer, AI Capability Center Hub

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 140,000.00 - 170,000.00 per year

Senior Staff Machine Learning Platform Engineer

Faire

Remote • Today

Full-time

USD 295,000.00 - 405,500.00 per year

MLOps

B12 Consulting

Hybrid in Plano, Texas • 24d ago

Easy Apply

Contract

60 - 80

Staff Machine Learning Platform Engineer

Faire

Remote • Today

Full-time

USD 246,500.00 - 339,000.00 per year

Senior ML Ops Engineer

Mitchell Martin, Inc.

Remote • 18d ago

Easy Apply

Full-time, Third Party

$105000 - $150000

ML Ops Engineer

Sahi Softtech

Remote • 27d ago

Easy Apply

Full-time

Depends on Experience

Architect - Platform Engineering - USA

Quantiphi Inc.

Remote • Today

Full-time

Job Details

Skills

SageMaker
MLOps Platform Engineer
Cloud Infrastructure
AWS
MLOps
Studio Classic
Unified Studio
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Amazon Web Services

Summary

AVA Consulting is seeking a MLOps Platform Engineer (SageMaker)

Location: Plano, TX

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.

Company Background: Our client, a major employer in the area, is looking for a MLOps Platform Engineer (SageMaker) to be part of its team in its North American operations.

Job Description:

Client''''''''s Enterprise Platforms team is looking for a 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.

Responsibilities:

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:

Must Have 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

Preferred Skills:

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

NOTE: Interested Candidates can apply by sending their Updated Resume and Contact Details.

Ron Tolson

AVA Consulting

Fax:

Web:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10125450
Position Id: AVA1497588
Posted 30+ days ago

Fitment

Dice Job Match Score™

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Contact the job poster

Ron Tolson

Recruiter @ AVA Consulting

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Similar Jobs

MLOps Platform Engineer (SageMaker)

Plano, Texas

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Today

Job Description Job Title: MLOps Platform Engineer (SageMaker) Job Location: Plano, TX Project Duration: 12 months with possible extension Job Summary What we're looking for Client is looking for a 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 throug

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MLOps Platform Engineer

Plano, Texas

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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, p

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Job Title: SageMaker Platform Engineer Overview We are seeking a highly skilled Platform Engineer with deep expertise in AWS SageMaker and Machine Learning. The ideal candidate will have strong experience in setting up, managing, and optimizing SageMaker environments, with a focus on Studio Classic and exposure to Uniform Studio. Key Responsibilities Design, implement, and manage AWS SageMaker environments.Support Machine Learning workflows, including model training, deployment, and monitoring.C

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Position: MLOps Platform Engineer (SageMaker) Location: Plano, TX Duration : 12+ Months Job Description: RM NOTES: Export Control form would be required but at the time of onboarding only and not required during submission. This position is withEnterprise Analytical Data & IntegrationTeam and the hiring manager is looking to onboard MLOpsPlatform Engineer (Sagemaker) who is expert in Sagemaker (key skillset) and AWS. Local candidates preferred, 12 months contract with extension, Onsite role.

Easy Apply

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60 - 80

Job Details

Skills

SageMaker
MLOps Platform Engineer
Cloud Infrastructure
AWS
MLOps
Studio Classic
Unified Studio
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Amazon Web Services

Summary

AVA Consulting is seeking a MLOps Platform Engineer (SageMaker)

Location: Plano, TX

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.

Company Background: Our client, a major employer in the area, is looking for a MLOps Platform Engineer (SageMaker) to be part of its team in its North American operations.

Job Description:

Client''''''''s Enterprise Platforms team is looking for a 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.

Responsibilities:

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:

Must Have 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

Preferred Skills:

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

NOTE: Interested Candidates can apply by sending their Updated Resume and Contact Details.

Ron Tolson

AVA Consulting

Fax:

Web:

Dice Id: 10125450
Position Id: AVA1497588
Posted 30+ days ago

Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Contact the job poster

Ron Tolson

Recruiter @ AVA Consulting

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

MLOps Platform Engineer (SageMaker)

Plano, Texas

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