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Amazon Sagemaker Jobs in Texas (NOW HIRING)

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $138K/yr

... Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment. • Collaborate closely with data engineers, data scientists, and product teams ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $138K/yr

... Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment. • Collaborate closely with data engineers, data scientists, and product teams ...

Universal Business Consulting

AI Ops

Dallas, TX · On-site

$129K - $165K/yr

... 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 ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX

$101K - $133K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...

CCS INC

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Experience with model-serving infrastructure, such as Amazon SageMaker, NVIDIA Triton, Ray Serve, or similar platforms. * Hands-on experience with GenAI libraries and frameworks, including LangChain ...

Deloitte

Cyber - AWS Cloud Security - Manager

Houston, TX

$106K - $143K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Deloitte

Cyber - AWS Cloud Security - Manager

Dallas, TX

$109K - $148K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Deloitte

Cyber - AWS Cloud Security - Manager

Austin, TX

$110K - $148K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

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Showing results 21-40

All JobsAmazon Sagemaker JobsAmazon Sagemaker Jobs in Texas

Amazon Sagemaker information

See Texas salary details

$21.4K

$71.9K

$113.7K

How much do amazon sagemaker jobs pay per year?

As of Aug 7, 2026, the average yearly pay for amazon sagemaker in Texas is $71,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $89,400.00 per year, depending on experience, location, and employer.

What is Amazon SageMaker?

Amazon SageMaker is a fully managed machine learning service provided by AWS that allows developers and data scientists to build, train, and deploy machine learning models quickly and at scale. It offers a range of tools for every stage of the ML workflow, including data labeling, model training, tuning, and deployment. SageMaker supports popular ML frameworks and integrates with other AWS services, making it easier to operationalize machine learning in the cloud. Its managed infrastructure helps reduce the time and complexity involved in developing ML solutions.

What are some common challenges faced by professionals working with Amazon SageMaker, and how can they be addressed?

Professionals working with Amazon SageMaker often encounter challenges such as managing large datasets, optimizing model training costs, and integrating SageMaker with other AWS services or existing data pipelines. Addressing these challenges typically involves leveraging SageMaker's built-in data preprocessing features, using managed spot training to reduce costs, and collaborating closely with data engineering and DevOps teams to ensure seamless integration. Regularly reviewing AWS documentation and best practices can also help professionals stay updated on new features and solutions.

What are the key skills and qualifications needed to thrive as an Amazon SageMaker machine learning engineer?

To excel as an Amazon SageMaker Machine Learning Engineer, you need strong expertise in machine learning concepts, data preprocessing, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with AWS SageMaker, cloud infrastructure, version control systems like Git, and relevant certifications such as AWS Certified Machine Learning – Specialty are highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills are vital for building, deploying, and maintaining scalable machine learning solutions that drive business value.
What are popular job titles related to Amazon Sagemaker jobs in Texas? For Amazon Sagemaker jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Amazon Sagemaker jobs in Texas look for? The top searched job categories for Amazon Sagemaker jobs in Texas are:
Amazon Sagemaker jobs near you
Infographic showing various Amazon Sagemaker job openings in Texas as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $71,858 per year, or $34.5 per hour.

Technical Project Manager Data Engineering Data Science

Select Minds LLC

Dallas, TX • On-site

$60 - $70/hr

Full-time

Posted 11 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Technical Project Manager | Data Engineering & Data Science
Location: Dallas, TX  Hybrid (Onsite + Remote)
Employment Type: Full Time / Contract (W2)
Duration: 12+ Months (Ongoing)
Cloud Environment: Amazon Web Services (AWS)
Team Structure: US Onsite Teams and Offshore GCC Teams
Compensation: Competitive Market Rate
We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.
In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.
Required Qualifications
Technical Skills
* Experience managing Data Engineering and/or Data Science projects
* Strong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions
* Knowledge of ETL/ELT frameworks and modern data pipeline architecture
* Familiarity with Machine Learning lifecycle management
* Experience with Agile delivery methodologies (Scrum or SAFe)
* Experience using Jira, Confluence, or similar project management tools
* Understanding of cloud security, data governance, and data quality best practices

Project Management
* Experience managing complex enterprise technology programs
* Experience coordinating onsite and offshore GCC teams
* Strong skills in project planning, dependency management, risk management, and stakeholder communication
* Ability to communicate technical concepts effectively to executive leadership
Professional Skills
* Excellent verbal and written communication
* Strong organizational and planning abilities
* Ability to manage multiple priorities in a fast-paced environment
* Comfortable working with cross-functional and multicultural teams
Key Responsibilities
Project Delivery
* Lead end-to-end delivery of Data Engineering and Data Science initiatives
* Define project scope, timelines, milestones, and success metrics
* Manage project plans, RAID logs, risk registers, and executive status reporting
* Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives
Offshore Team Coordination
* Serve as the primary liaison between onsite stakeholders and offshore GCC teams
* Coordinate work across multiple time zones
* Manage resource planning, priorities, escalations, and delivery governance
* Ensure transparency and accountability across distributed teams
Technical Leadership
AWS Technologies: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • Amazon SageMaker • Amazon Athena • AWS Step Functions
Additional responsibilities include:
* Partner with Data Engineers and Data Scientists
* Support architecture reviews and data pipeline planning
* Coordinate Machine Learning model deployments
* Ensure compliance with cloud security, data governance, and data quality standards
Stakeholder Management
* Present project updates to executive leadership
* Act as the primary point of contact for business and technology stakeholders
* Identify project risks and drive mitigation plans
* Facilitate collaboration across Engineering, Analytics, Operations, and IT teams
Preferred Qualifications
Certifications :   PMP • PMI-ACP • Certified Scrum Master (CSM) • SAFe • AWS Cloud Practitioner • AWS Solutions Architect
Industry Experience :Commercial Airlines • Travel • Transportation • Logistics
Additional Technical Experience : Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • MLOps
Domain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs
Before You Apply
Please ensure you meet most of the following qualifications:
* Experience managing Data Engineering or Data Science programs
* Strong understanding of AWS data services
* Experience leading Agile project teams
* Experience coordinating onsite and offshore teams
* Strong stakeholder management and executive communication skills
* Ability to work in a Hybrid environment
* Valid authorization to work in the United States under one of the accepted work authorization categories 

Flexible work from home options available.