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Aws Sagemaker Jobs (NOW HIRING)

AWS Glue, AWS Lambda, EMR, Athena, Amazon Managed Service for Apache Flink,AWS Step Functions, AWS SageMaker Required 7 Years * Experience with DevOps practices and automation tools Required 7 Years

Data Scientist

Dallas, TX · On-site

$90K - $110K/hr

The position operates within a modern analytics environment leveraging Amazon Redshift, AWS SageMaker, and AWS CodeCommit to build scalable analytical workflows and production-ready models. We are ...

Senior Cloud Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Recommend AI platforms and frameworks including AWS SageMaker, Azure ML, Google Vertex AI, and PyTorch. * Ensure AI solutions align with responsible AI principles, ethics, bias mitigation, and ...

Senior AWS DevOps Engineer

Costa Mesa, CA · On-site

$137K - $177K/yr

Collaborate with security and identity teams on Centrify and Active Directory configurations. * (Bonus) Work with AWS SageMaker and other AWS data science and analytics tools. Qualifications: * 10+ ...

Sr ML Engineer

Malvern, PA · On-site

$102K - $140K/yr

CITY - Malvern, PA Duration: 6 months Experience Required: 8-10 ROLE_DESCRIPTION - Strong hands‑on experience with AWS SageMaker for end‑to‑end ML development (data prep, training, tuning ...

Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...

Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...

Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...

Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...

Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...

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Aws Sagemaker information

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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.
Sr. Software Dev. Engineer, SageMaker JumpStart Builder Experience

Sr. Software Dev. Engineer, SageMaker JumpStart Builder Experience

Amazon

New York, NY • On-site

$134K - $176K/yr

Full-time

Posted 6 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,925 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Would you like full-stack ownership of SageMaker's front door. Are you interested in democratizing AI / ML and enabling customers to develop and distribute models of their own?
Amazon SageMaker is a suite of AWS services which enable customers to build, train, and deploy Artificial Intelligence (AI) and Machine Learning (ML) models with fully managed infrastructure, tools, and workflows. Our team owns several important parts of SageMaker:
1.

SageMaker JumpStart, a collection of ~700 pre-trained and validated models and algorithms which customers can simply grab off a shelf and use. Customer facing UIs in SageMaker Studio and AWS Console, Python and JavaScript SDKs, and Services make discovery and usage of these models easy. SageMaker can be overwhelming for a new user, so you can think of JumpStart as the landing page and introduction to SageMaker, where we provide sensible defaults and examples to enable customers to get started in a few minutes with only a few clicks.
2

SageMaker Repository Services including Model Registry which allows customers to register models for discovery and usage by entitled end users. This service also handles distribution of Model Packages from AWS Marketplace to all SageMaker regions, so that model providers can list a product once but end users can access it quickly everywhere.
3. SageMaker Model Cards which provides a governance view of custom models to determine if/when/where they may be safely and appropriately used.
4

SageMaker Projects which provides CI/CD templates to create ML workflows and allow customers to define and distribute custom templates for the same.
5. Nova Escrow which provide secure storage and distribution of Amazon's Nova model artifacts and customer artifacts like fine-tuned versions of these models.
The common thread is that we own all things to do with model discovery, distribution, and governance. This team is the front door of AWS SageMaker, and is very strategically important to the overall business

We are looking for a talented Sr. SDE who will join and be a leader of the 2-pizza team which designs, develops, and maintains these features. This SDE will be full-stack, contributing to backend projects, but more importantly will be the owner of our customer-facing UI and SDK experiences.

You will partner with other engineering teams, Product Managers, UX Designers, and Applied Scientists to directly improve the Customer Experience of our products, deliver customer-requested features, and increase Engineering and Operational Excellence. Your innovation will make a difference.
Key job responsibilities
* Obsess over Customers to provide a simple and secure experience and directly collaborate with these customers to make their lives easier
* Take Ownership of the customer experience to build for the long term and represent our team in discussions with the many other teams within SageMaker and beyond
* Invent and Simplify (both individually and by soliciting ideas from your team) to improve CX, OE, and EE
* Think Big to inspire and motivate the team to work on the most important problems. Don't limit yourself to components that our team directly owns
* Have Backbone; Disagree & Commit to advocate for your vision, but align with org priorities when partners or leaders have a different point of view
* Earn Trust of external customers, your team, and both partners by clearly communicating technical concepts, project status, and risks
* Deliver Results by continually launching new features quickly
* Insist on the Highest Standards for usability and accessibility as well as operational and engineering excellence
* Be Right; A Lot in your judgement of what customers need and how to deliver it
* Hire and Develop the Best SDEs and FEEs by mentoring and coaching teammates and partners
A day in the life
* As the primary owner of our team's UIs and SDKs, you will frequently disambiguate and estimate projects, campaigns, and operational issues
* Collaborate with UX Designers, Product Managers, and other engineers to propose, design, and deliver customer-facing features
* Collaborate with SDMs and PEs on roadmap planning and prioritization
* Lead project execution, taking the most complex parts yourself and delegating others to teammates
* Be an active participant in recurring mechanisms like standups, ops meetings, and status reporting
* Lead by example and actively mentor teammates to increase their performance and reach their career goals
About the team
Our team owns several distinct components as described above, but you can distill the overall charter down to making it easy and fast for customers to use the latest and greatest ML models

In this role, you will own the end customer experience of our products -- the UIs, SDKs, and backing services of multiple customer-facing products.
You are part of a broader org consisting of ~20 SDEs and 2 SDMs, all in NYC.


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US