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Full Time Aws Sagemaker Jobs (NOW HIRING)

Lorven Technologies

AI Architect

San Jose, CA · On-site

San Jose, CA 95138 Full-Time Skills/Experience: * 6-10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud AI platforms (AWS SageMaker / Azure ML / GCP AI ...

Infosys

AWS Enterprise Architect

Plano, TX · On-site

$62 - $81.25/hr

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... as Amazon Bedrock, SageMaker preferred. • Working knowledge of Generative AI technologies ...

Prescient Edge

Data Scientist

Doral, FL · On-site

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ...

IntraEdge

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

... for orchestration and automation SageMaker for ML workflows AWS Bedrock for LLM-powered ... Employment Type: FULL_TIME

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

AWS Bedrock * AWS SageMaker * GCP Vertex AI * Knowledge of AI governance, responsible AI, AI ... (full-time). This covers base pay only; any bonuses, incentives, and benefits will be discussed ...

Wyetech

Software Engineer 3

Fort George G Meade, MD · On-site

$86.20 - $136.27/hr

... AWS SageMaker, AWS EKS), as well as strong agile delivery skills using Scrum or Kanban and tools ... Full-time employees have the option to participate in a variety of voluntary benefit plans ...

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Full Time Aws Sagemaker information

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$77

How much do full time aws sagemaker jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for full time aws sagemaker in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What is the difference between Full Time Aws Sagemaker vs Data Scientist?

AspectFull Time Aws SagemakerData Scientist
Required CredentialsAWS certifications, machine learning knowledgeStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, machine learning projectsData analysis, research, modeling
Industry UsageTech, e-commerce, financeHealthcare, finance, tech

Full Time Aws Sagemaker roles focus on deploying and managing machine learning models on AWS cloud, requiring cloud and ML certifications. Data Scientists analyze data, build models, and often have a broader statistical background. While both roles involve machine learning, Sagemaker specialists are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and model development.

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Full Time Aws Sagemaker jobs near you
Infographic showing various Full Time Aws Sagemaker job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

DevSecOps Platform Engineer

ManTech International

Tampa, FL • On-site

Full-time

Re-posted 12 hours ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

General information
Requisition #
R68400
Locations
USA-FL-Tampa, USA-FL-Fort Walton Beach
Posting Date
06/04/2026
Security Clearance Required
Secret
Remote Type
Onsite
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
MANTECH seeks a motivated, career and customer-oriented DevSecOps Platform Engineer to join our team in Tampa, FL.
The DevSecOps Engineer (Platform Team) will leverage their strong technical background and knowledge as a platform team developer responsible for developing and managing the CI/CD pipelines of a wide variety of applications. This role functions as a "generalist" on CI/CD pipeline and security requirements with strong knowledge of the platform as a whole to ensure the successful delivery of enterprise software solutions.
Responsibilities include but are not limited to:
  • Develop and manage infrastructure as code (IaC) using Terraform, Ansible, and/or AWS Cloud Formation Templates.
  • Provision and configure cloud service provider (CSP) systems including Google Cloud Provider (GCP), Microsoft Azure, and Amazon Web Services (AWS) to ensure reliable and scalable solutions.
  • Developing, testing, and maintaining containerized applications to support the Sponsor's system accreditation efforts.
  • Building and maintaining CI/CD pipelines for a large enterprise consisting of hundreds of applications using Jenkins, GitLab, or similar tools.
  • Implementing DevSecOps methodologies and managing source version control and build/release tools.
  • Supporting the software build process and ensuring all systems meet security-first requirements.
  • Maintaining system baselines and configuration management items, including security event monitoring policies for automated pipelines.
  • Recommending, and when approved, implementing process and policy improvements for pipeline efficiency and security.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Math, or a related field.
  • 5+ years of experience in software systems development and management.
  • Proficiency with Terraform, Ansible, and/or AWS Cloud Formation Templates.
  • Experience provisioning and configuring CSP systems (GCP, Microsoft Azure, AWS).
  • Experience deploying and configuring CSP SaaS offerings (API gateways, SaaS databases, etc.).
  • Knowledge of programming or scripting languages (Python, Bourne Shell, etc.).
  • Experience building CI/CD pipelines using tools like GitLab.
  • Proficiency in containerization with Docker, Podman, or Kubernetes.
  • Experience securing software through code and container scans.

Preferred Qualifications:
  • Experience with MLOps, including building and deploying machine learning models.
  • Knowledge of generative AI technologies.
  • Experience with SaaS AI tools such as AWS SageMaker.
  • Experience with network configuration and management.
  • Understanding of Zero Trust security principles.
  • Experience with the Sponsor's primary cyber risk and compliance automation tools.

Clearance Requirements:
  • Must have an Secret with the ability to obtain and maintain TS/SCI.

Physical Requirements:
  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc..
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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