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Universal Business Consulting

Dallas, Texas • 7d ago

Easy Apply

Contract, Third Party

Depends on Experience

Azure AI/ML Ops Engineer

Everest Technologies

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Platform, Data & AI-Operations Engineer

Sincera Technologies, Inc.

Hybrid in Dallas, Texas • 14d ago

Easy Apply

Contract

Depends on Experience

AI FinOps Analyst

PROLIM Global Corporation

Plano, Texas • Today

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Third Party, Contract

Depends on Experience

Mid-Senior GenAI / Machine Learning Engineer (Telecom Domain)

Brillfy Technology

Dallas, Texas • 4d ago

Easy Apply

Contract

AI Engineer Tech Lead

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

Netcool Developer

Nam Info Inc

Dallas, Texas • 19d ago

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Contract, Third Party

Java Developer (Python/AI exp)

Techgroup America Inc.

Dallas, Texas • 11d ago

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Contract

Depends on Experience

Solution Architect (Java, Cloud & AI)

GG Tech Global

Dallas, Texas • 4d ago

Easy Apply

Contract

70 - 80

Agentic AI & Generative AI Engineer

Career Soft Solutions Inc

Richardson, Texas • Today

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Full-time

Depends on Experience

Java + Python AI Agent Engineer

BCforward

Addison, Texas • Today

Easy Apply

Contract

$68.00 - $68.25 per hour

AI Engineer

Tekaccel, Inc

Grand Prairie, Texas • Today

Full-time

Sr. AI Technology Architect

Wise Skulls Corp.

Irving, Texas • 11d ago

Easy Apply

Contract

Depends on Experience

AI ML Solution Architect & Developer Senior Manager

Protiviti

Dallas, Texas • Today

Full-time

USD 149,000.00 - 239,000.00 per year

Technical Trainer Java Full Stack & AI

Revature

Dallas, Texas • Today

Easy Apply

Full-time

Depends on Experience

Oracle SCM Applications Suite (AI-Fueled SDLC & Modernization)

SightSpectrum LLC

Irving, Texas • 7d ago

Easy Apply

Contract, Third Party

Oracle AI Developer

Robustware

Dallas, Texas • 4d ago

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Contract

Depends on Experience

AI Developer/ Trainer

PROLIM Global Corporation

Hybrid in Plano, Texas • Today

Easy Apply

Third Party, Contract

Depends on Experience

Software Engineering AI/ML - Plano, TX / Naveen

Ampcus Inc

Plano, Texas • 11d ago

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Contract

$50 - $60

Senior Software Engineer - AI

Mindlance

Dallas, Texas • 19d ago

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Contract

70 - 80

AI Architect

NTT DATA, Inc.

Dallas, Texas • Today

Full-time

Agentic AI Engineer

select minds

Dallas, Texas • Today

Full-time

USD 120,000.00 - 140,000.00 per year

Full Stack Engineer( Go Lang)

Anblicks

Hybrid in Dallas, Texas • 12d ago

Easy Apply

Contract, Third Party

Depends on Experience

Sr Python Developer with AI/ML

Voto Consulting LLC

Hybrid in Dallas, Texas • 7d ago

Easy Apply

Contract

Depends on Experience

Senior AI Governance Specialist

Logicplanet, Inc.

Dallas, Texas • 13d ago

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Contract, Third Party

60 - 65

Oracle ERP & EPM Oracle AI Developer

Integrated Technology Strategies, Inc.

Dallas, Texas • 4d ago

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Full-time

Depends on Experience

Sr. Solutions Architect - AI

Nutanix

Remote or Dallas, Texas • Today

Full-time

USD 239,000.00 - 359,000.00 per year

Principal AI Solutions Architect, Healthcare & Life Sciences - US

DataArt Solutions

Dallas, Texas • Today

Full-time

USD 190,000.00 - 240,000.00 per year

Lead AI Engineer

Citi

Irving, Texas • Today

Full-time

USD 156,160.00 - 234,240.00 per year

Senior AI/ML Engineer W2 only

Wise Equation Solutions Inc.

Plano, Texas • 12d ago

Easy Apply

Full-time

90 - 100

Job Details

Skills

Artificial Intelligence
Machine Learning (ML)
Kubernetes
Machine Learning Operations (ML Ops)
Data Extraction
Amazon Web Services
Amazon SageMaker
Snow Flake Schema
Terraform
Virtual Private Cloud
SAML
SSO
SailPoint
IaaS
Computer Networking

Summary

AI Ops

Introduction:

Our client is looking for a Senior ML Platform Engineer to design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio. The successful candidate will play a key role in migrating 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, including domain configuration, project provisioning, persona-based roles, and multi-environment promotion workflows.
Build MLOps pipelines using SageMaker Pipelines for data extraction, preprocessing, training, evaluation, and model registration.
Manage SageMaker Model Registry for cross-account model promotion, versioning, immutability, and lineage tracking.
Configure MLflow experiment tracking for auto-logging of parameters, metrics, and artifacts.
Set up identity and access management using Okta SSO, SailPoint entitlements, and persona-based execution roles.
Build and manage model serving for real-time SageMaker endpoints and batch prediction workflows.
Set up model monitoring for data drift, model drift, and performance degradation detection.
Configure data catalog for searchable datasets, access-level visibility, and lineage tracking.
Own platform operations including observability, logging, custom images, and instance availability.

Requirements:

Required:

15 years of software engineering experience focused on cloud infrastructure or ML platform operations. (Must)
5+ years hands-on experience with AWS, including expertise in Amazon SageMaker.( Must)
3+ years building and operating production MLOps pipelines.( Must)
Experience with SageMaker Unified Studio or Studio Classic.
MLflow or equivalent experiment tracking experience.
SageMaker Pipelines or similar workflow orchestration knowledge.
Infrastructure-as-Code experience with Terraform, CDK, or CloudFormation.
IAM design for ML platforms including execution roles, service roles, cross-account access, and SSO/SAML.
Experience with model serving, Snowflake data source, Kubernetes, and networking/security.

Preferred:

Experience with SageMaker Unified Studio domain provisioning, custom blueprints, and project standardization.
Knowledge of SageMaker Feature Store and Model Monitor.
AWS Machine Learning Specialty certification.

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: 10118445
Position Id: 9041753
Posted 11 days ago

Fitment

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Ravi Reddy

Recruiter @ Universal Business Consulting

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MLOps Platform Engineer (SageMaker)

Plano, Texas

•

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

Full-time

MLOps Platform Engineer (SageMaker)

Plano, Texas

•

Today

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: Clients Enterprise Platforms team is looking for a Senior ML Platform Engineer to design, build, and operati

Easy Apply

Contract

Depends on Experience

MLOps

Hybrid in Plano, Texas

•

17d ago

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

Contract

60 - 80

Data Scientist (Automotive Logistics, AWS Cloud)

Dallas, Texas

•

Today

We are hiring a Lead Data Scientist to drive the architecture, development, and deployment of machine learning and AI-powered demand forecasting solutions within the automotive logistics ecosystem. This role is central to improving vehicle and parts supply chain visibility, inventory accuracy, and fulfillment predictability using Linear Programming (LP), Dynamic Programming (DP), machine learning, MLOps best practices, and AWS-native services. Responsibilities: Develop and implement optimization

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Artificial Intelligence
Machine Learning (ML)
Kubernetes
Machine Learning Operations (ML Ops)
Data Extraction
Amazon Web Services
Amazon SageMaker
Snow Flake Schema
Terraform
Virtual Private Cloud
SAML
SSO
SailPoint
IaaS
Computer Networking

Summary

AI Ops

Introduction:

Responsibilities:

Set up SageMaker Unified Studio platform, including domain configuration, project provisioning, persona-based roles, and multi-environment promotion workflows.
Build MLOps pipelines using SageMaker Pipelines for data extraction, preprocessing, training, evaluation, and model registration.
Manage SageMaker Model Registry for cross-account model promotion, versioning, immutability, and lineage tracking.
Configure MLflow experiment tracking for auto-logging of parameters, metrics, and artifacts.
Set up identity and access management using Okta SSO, SailPoint entitlements, and persona-based execution roles.
Build and manage model serving for real-time SageMaker endpoints and batch prediction workflows.
Set up model monitoring for data drift, model drift, and performance degradation detection.
Configure data catalog for searchable datasets, access-level visibility, and lineage tracking.
Own platform operations including observability, logging, custom images, and instance availability.

Requirements:

Required:

15 years of software engineering experience focused on cloud infrastructure or ML platform operations. (Must)
5+ years hands-on experience with AWS, including expertise in Amazon SageMaker.( Must)
3+ years building and operating production MLOps pipelines.( Must)
Experience with SageMaker Unified Studio or Studio Classic.
MLflow or equivalent experiment tracking experience.
SageMaker Pipelines or similar workflow orchestration knowledge.
Infrastructure-as-Code experience with Terraform, CDK, or CloudFormation.
IAM design for ML platforms including execution roles, service roles, cross-account access, and SSO/SAML.
Experience with model serving, Snowflake data source, Kubernetes, and networking/security.

Preferred:

Experience with SageMaker Unified Studio domain provisioning, custom blueprints, and project standardization.
Knowledge of SageMaker Feature Store and Model Monitor.
AWS Machine Learning Specialty certification.

Dice Id: 10118445
Position Id: 9041753
Posted 11 days ago

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Contact the job poster

Ravi Reddy

Recruiter @ Universal Business 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

•

Today

Full-time

MLOps Platform Engineer (SageMaker)

Plano, Texas

•

Today

Easy Apply

Contract

Depends on Experience

MLOps

Hybrid in Plano, Texas

•

17d ago

Easy Apply

Contract

60 - 80

Data Scientist (Automotive Logistics, AWS Cloud)

Dallas, Texas

•

Today

Easy Apply

Contract

Depends on Experience