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Aws Sagemaker Jobs (NOW HIRING)

Diverse Lynx

: AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

... SageMaker, Glue, ELB, FSx, ECR, and Secrets Manager. • Lead on-premises to AWS cloud data migration initiatives, including planning, execution, validation, and cutover. • Architect and configure ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

Support deployment of machine learning pipelines using AWS SageMaker and associated services. Requirements * 10+ years of professional software development experience, with significant expertise ...

Judge Group, Inc.

AWS Cloud Engineer

Minneapolis, MN

$110K - $120K/yr

Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment. Design solutions for large data ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

Support deployment of machine learning pipelines using AWS SageMaker and associated services. Requirements * 10+ years of professional software development experience, with significant expertise ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

Support deployment of machine learning pipelines using AWS SageMaker and associated services. Requirements * 10+ years of professional software development experience, with significant expertise ...

SkilzMatrix Digital

MLOps Engineer

Dallas, TX · Hybrid

$55.50 - $74/hr

Practical firsthand experience with cloud MLOps and Data Analytics platforms, preferably AWS SageMaker, Glue, EMR, Athena. o Best Practices: Familiarity with best practices for MLOps and Data ...

SES

Python Developer - AWS - ZL

Reston, VA · Hybrid

$52.25 - $72/hr

Use AWS SageMaker to build, train, and deploy machine learning and GenAI models. Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do Squad: Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday ...

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How much do aws sagemaker jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for 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 are the key skills and qualifications needed to thrive in the Aws Sagemaker position, and why are they important?

To excel in an AWS SageMaker-focused role, you need strong expertise in machine learning, data science, and cloud computing, often supported by a degree in computer science or a related field. Experience with AWS SageMaker, other AWS services (like S3 and Lambda), and certifications such as AWS Certified Machine Learning – Specialty are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help set candidates apart. Mastery of these areas ensures successful design, deployment, and management of scalable AI/ML solutions in dynamic business environments.

What are the main day-to-day responsibilities for someone working with AWS SageMaker?

Day-to-day responsibilities for AWS SageMaker professionals typically include building, training, and deploying machine learning models using the SageMaker platform, preprocessing data, and monitoring the performance of deployed models. You'll often collaborate with data engineers, software developers, and business stakeholders to understand project requirements and deliver solutions that meet business objectives. Routine tasks may also involve tuning model hyperparameters, optimizing resource usage, and ensuring data security and compliance within AWS environments. This hands-on, collaborative workflow provides the opportunity to directly impact business outcomes while continuously developing your technical expertise.

What is an AWS SageMaker job?

An AWS SageMaker job typically refers to a role focused on building, training, and deploying machine learning models using Amazon SageMaker. Professionals in this role work with data preprocessing, model optimization, and cloud-based machine learning workflows. Responsibilities may include automating ML pipelines, monitoring performance, and integrating SageMaker with other AWS services. Knowledge of Python, TensorFlow, PyTorch, and AWS services is often required.

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Aws Sagemaker jobs near you
loud Engineer/AWS/SageMaker/Python

loud Engineer/AWS/SageMaker/Python

Syntricate Technologies

Manhattan, NY • Hybrid

$60/hr

Other

Posted 22 days ago

Job description

Mid-Senior Resource With AWS Python SageMaker And DataWrangler Application Support

Mid-senior resource with AWS Python SageMaker and DataWrangler application support resource is required to operationalize the SageMaker platform and provide support for requests such as: onboarding, data prep, routine maintenance, capacity planning/monitoring, chargeback modeling and reporting, and best practice guidance.

Candidates must have long projects/good tenure, excellent communication skills, and a state issued ID showing they are local.

Candidates must have recent experience working with SageMaker, AWS, and Python. Required location: hybrid/midtown or Commack New York City 3 days a week. Contract status: $60/hr on c2c preferred or $60/hr on W2.

Interview required: video. Candidates must be local to the New York or New Jersey area and commute into the office three times a week. No relocation considered.

*** Please only send me candidates in the NY/NJ Commack, Long Island area open to hybrid. *** Please make sure that each submittal includes:

  1. Driver's license or state ID
  2. Link to the candidate's LinkedIn account.
  3. Below submittal format

*** Candidate must have's on a resume and for submittal:

  • How many years working with: AWS
  • How many years working with: SageMaker
  • How many years working with: PYTHON
  • How many years working with: DataWrangler IS A+

5. How many years working with:

*** Please provide all the below submittal format details with each submittal. It is required for the client management system.

  • Full name:
  • Rate:
  • Location:
  • Availability to interview: one day's notice
  • Availability to start:
  • Email address:
  • Phone number:
  • Visa status:
  • Education - college/year of graduation:
  • Link to LinkedIn?
  • Certifications (please list)?

Please send candidates who meet or exceed the below experience: AWS infrastructure & development experience level 8-10+ years skills & job responsibilities AWS Python SageMaker and DataWrangler application support resource is required to operationalize the SageMaker platform and provide support for requests such as: onboarding, data prep, routine maintenance, capacity planning/monitoring, chargeback modeling and reporting, and best practice guidance. Resource should also be familiar with AWS in general and have the ability to support AWS infrastructure operations as needed.

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