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Amazon Sagemaker Jobs (NOW HIRING)

MLOps Engineer

Dallas, TX · Hybrid

$55.50 - $74/hr

Its hybrid and 3 days onsite Technical Skills: o Amazon SageMaker: In-depth knowledge of SageMaker, including domain setup, configuration, and infrastructure management. o Cloud Knowledge: A deep ...

The current environment is on Agile Scrum, and the team is using technologies such as Snowflake, AWS Bedrock, and Amazon SageMaker. Core business hours is 9-5 PM EST, hired resource may start from 7 ...

Data Engineer

Suitland, MD

$123K - $148K/yr

Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow. * Monitoring & Troubleshooting

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...

Technical Program Manager

Exton, PA · On-site

$124K - $161K/yr

... Amazon SageMaker are productionready and aligned to delivery timelines Edge & Industrial Integration Drive programs that integrate vision outputs into: Dashboards and operational tools APIs and ...

Lead Data Engineer - AWS

Dallas, TX · Remote

$104K - $138K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...

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Amazon Sagemaker information

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$23K

$77.1K

$122K

How much do amazon sagemaker jobs pay per year?

As of Jun 7, 2026, the average yearly pay for amazon sagemaker in the United States is $77,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $96,000.00 per year, depending on experience, location, and employer.

What is Amazon SageMaker?

Amazon SageMaker is a fully managed machine learning service provided by AWS that allows developers and data scientists to build, train, and deploy machine learning models quickly and at scale. It offers a range of tools for every stage of the ML workflow, including data labeling, model training, tuning, and deployment. SageMaker supports popular ML frameworks and integrates with other AWS services, making it easier to operationalize machine learning in the cloud. Its managed infrastructure helps reduce the time and complexity involved in developing ML solutions.

What are some common challenges faced by professionals working with Amazon SageMaker, and how can they be addressed?

Professionals working with Amazon SageMaker often encounter challenges such as managing large datasets, optimizing model training costs, and integrating SageMaker with other AWS services or existing data pipelines. Addressing these challenges typically involves leveraging SageMaker's built-in data preprocessing features, using managed spot training to reduce costs, and collaborating closely with data engineering and DevOps teams to ensure seamless integration. Regularly reviewing AWS documentation and best practices can also help professionals stay updated on new features and solutions.

What are the key skills and qualifications needed to thrive as an Amazon SageMaker Machine Learning Engineer, and why are they important?

To excel as an Amazon SageMaker Machine Learning Engineer, you need strong expertise in machine learning concepts, data preprocessing, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with AWS SageMaker, cloud infrastructure, version control systems like Git, and relevant certifications such as AWS Certified Machine Learning – Specialty are highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills are vital for building, deploying, and maintaining scalable machine learning solutions that drive business value.
More about Amazon Sagemaker jobs
What states have the most Amazon Sagemaker jobs? States with the most job openings for Amazon Sagemaker jobs include:
Software Development Engineer II, Amazon SageMaker Catalog

Software Development Engineer II, Amazon SageMaker Catalog

Amazon

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,820 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS, you can requisition compute power, storage, and other services - paying as you go for only the resources you need. Within AWS, our Catalog solutions span Glue Data Catalog, Lake Formation, and DataZone. We offer customers a comprehensive inventory of an organization's assets, enrich this view through metadata, and provide data discovery, governance, trust, and query routing functionality. Catalogs are at the forefront of modern Analytics, acting as the bridge between the consumption layer and data services. They effectively enable Engines to query information and allow humans and AI to find semantic meaning in data. Our suite of Catalog services make it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.
Joining the AWS Catalog organization gives you the opportunity to:
- Work on a disruptive product that's still in its early stages
- Solve challenging problems that will revolutionize database computing in the cloud
- Build a product that will leverage the scale of resources available in the cloud
- Work for a company that's a recognized leader in the cloud computing space
- Be involved in the fast growing, big data space
We are looking for developers with expertise and passion for building large-scale data-intensive systems and distributed systems. In particular, we are looking for developers that want to work on the next generation big data systems that will transform data management on AWS and across the industry.
Experience with large scale data analytics, big data platforms, highly available/fault tolerant systems, replicated data storage, and operating complex services running in the cloud are all pluses.
Key job responsibilities
In this role, you will have responsibility for:
- Translating functional and technical requirements into detailed architecture and design
- Coding and testing complex system components
- Participating in code and design reviews to maintain our high development standards
- Working with other teams to deliver and operate large scale, distributed services in the cloud
- Overall system architecture, scalability, reliability, and performance
- Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team
About the team
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually

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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