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Aws Sagemaker Jobs (NOW HIRING)

AWS Sagemaker Engineer For a customer based out of NYC, we are looking for an AWS Sagemaker Engineer who can automate client pipeline (automate training, generation and deployment of AI/Client models)

This includes AWS Sagemaker, AWS Neptune, GCP Vertex AI. High level job responsibilities : * Will work with the engineering team and the infrastructure team in order to achieve all the milestones ...

Python Developer - Gen AI, Sagemaker, AWS

Reston, VA · On-site

$52.25 - $72/hr

SQL * AWS Data Services * LLM * ML * Sagemaker Experience: 8+ years overall in Software Engineering disciplines, preferably in the financial services industry 2-3 years of experience in AI/ML ...

Python Developer 10+ only SageMaker

Malvern, PA · On-site

$49.25 - $68/hr

Strong hands-on experience with AWS SageMaker for end-to-end ML development (data prep, training, tuning, deployment, monitoring) Advanced proficiency in Python and ML frameworks (TensorFlow ...

Senior AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

Configure and manage AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, Route 53, DataSync, S3 Replication, SageMaker, Glue, FSx, ECR, ELB, and Secrets Manager. * Implement AWS DataSync and S3 ...

Sr. AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

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 ...

AWS Architect

Atlanta, GA · Hybrid

$62.25 - $81.75/hr

... AWS SageMaker, Google Vertex AI, PyTorch). ● Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments. . AGENCY SPECIFIC QUALIFICATIONS: Minimum Qualifications:

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How much do aws sagemaker jobs pay per hour?

As of Jul 4, 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.

More about Aws Sagemaker jobs
What cities are hiring for Aws Sagemaker jobs? Cities with the most 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 Aws Sagemaker jobs? States with the most job openings for Aws Sagemaker jobs include:
Infographic showing various Aws Sagemaker job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 85% Full Time, 3% Temporary, 3% Contract, and 6% Nights. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.
AWS Sagemaker Engineer

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Posted 4 days ago


Job description

AWS Sagemaker Engineer

For a customer based out of NYC, we are looking for an AWS Sagemaker Engineer who can automate client pipeline (automate training, generation and deployment of AI/Client models). Flexible location / WFH option.


ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998