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Full Time Aws Sagemaker Jobs (NOW HIRING)

Quantiphi, Inc.

Senior Data Scientist

Senior Data Scientist (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote ... Deploy and manage models on AWS using services such as SageMaker. * Ensure model performance ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker ... This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker ... This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker ... This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML ...

Payactiv, Inc.

Senior Data Analyst

Milpitas, CA

$115K - $130K/yr

Senior Data Analyst Job Type: Full time, Onsite Salary Range: $115K to $130K (based on experience ... Working knowledge of machine learning concepts and tools (AWS SageMaker or equivalent); experience ...

CGI Inc.

Senior AWS Devops Engineer

Reston, VA · On-site

$135K - $173K/yr

J0626-0551 Employment Type: Full Time U.S. - The best version of me By playing this video you ... Jupyter Notebook and/or AWS SageMaker experience . Financial Services industry experience

Abacus Technology

Sr. Cloud Architect (AWS)

Washington, DC · On-site

$73.25 - $96.25/hr

This is a full-time position. * Conduct cloud migration readiness assessments and develop migration ... Explore new AWS AI solutions such as Bedrock and SageMaker for innovative solutions. * Design ...

AERMOR LLC

Software Test Engineer

Norfolk, VA · On-site

Position Type: Full-Time Clearance Type: Secret Location: Suffolk, VA AERMOR LLC is hiring a ... Utilize tools such as VSCode, Jupyter Notebooks, AWS SageMaker, and Azure Machine Learning

AERMOR LLC

Software Test Engineer

Norfolk, VA · On-site

Position Type: Full-Time Clearance Type: Secret Location: Suffolk, VA AERMOR LLC is hiring a ... Utilize tools such as VSCode, Jupyter Notebooks, AWS SageMaker, and Azure Machine Learning

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · On-site +1

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · On-site +1

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · Remote

$66.25 - $87/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

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Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · Remote

$66.25 - $87/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

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All JobsFull Time Aws Sagemaker Jobs

Full Time Aws Sagemaker information

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$11

$54

$77

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

As of Jun 14, 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.

More about Full Time Aws Sagemaker jobs
What cities are hiring for Full Time Aws Sagemaker jobs? Cities with the most Full Time Aws Sagemaker job openings:
What are the most commonly searched types of Aws Sagemaker jobs? The most popular types of Aws Sagemaker jobs are:
What states have the most Full Time Aws Sagemaker jobs? States with the most job openings for Full Time Aws Sagemaker jobs include:
What job categories do people searching Full Time Aws Sagemaker jobs look for? The top searched job categories for Full Time Aws Sagemaker jobs are:
Full Time Aws Sagemaker jobs near you
Infographic showing various Full Time Aws Sagemaker job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.
Python MLOps Specialist (SageMaker, MLflow) - Q125

Python MLOps Specialist (SageMaker, MLflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python MLOps Specialist (SageMaker, MLflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Python MLOps Specialist to streamline machine learning operations using Python with AWS SageMaker or MLflow. This role focuses on automating model deployment and management through CI/CD and DevOps practices.
Key Responsibilities
  • Develop Python-based MLOps workflows to automate ML model training and deployment.
  • Implement CI/CD pipelines for ML models using SageMaker, MLflow, or Kubeflow.
  • Manage model lifecycle processes, including versioning, testing, and monitoring with MLflow.
  • Leverage AWS SageMaker for scalable model training and inference in production.
  • Collaborate with DevOps teams to integrate MLOps into broader CI/CD ecosystems.
  • Ensure model governance, security, and performance in automated ML operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in Python development with a focus on MLOps and DevOps practices.
  • Proficiency in using SageMaker or MLflow for automating machine learning workflows.
  • Experience with CI/CD pipelines for deploying and managing ML models in production.
  • Strong understanding of MLOps principles and their integration with Python-based systems.

Preferred Qualifications
  • Familiarity with Kubeflow for orchestrating MLOps workflows on Kubernetes.
  • Exposure to cloud platforms like AWS or GCP for scalable MLOps deployments.
  • Knowledge of monitoring tools like Prometheus for ML model observability.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, MLOps, SageMaker, MLflow, Kubeflow, CI/CD, DevOps

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