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Amazon Sagemaker Jobs (NOW HIRING)

Lead Data Engineer - AWS

Dallas, TX

$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 ...

Experience with model-serving infrastructure, such as Amazon SageMaker, NVIDIA Triton, Ray Serve, or similar platforms. * Hands-on experience with GenAI libraries and frameworks, including LangChain ...

Design, develop, and productionize ML solutions on AWS using services such as Amazon SageMaker, Amazon S3, AWS Lambda, AWS Step Functions, and related analytics/integration services. * Build and ...

Proficiency in AWS services for machine learning, including Amazon SageMaker and AWS Lambda. * Strong programming skills in Python. * Experience with machine learning frameworks (e.g., TensorFlow ...

Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3. * Perform data collection, cleaning, and feature ...

Proficiency in AWS services for machine learning, including Amazon SageMaker and AWS Lambda. * Strong programming skills in Python. * Experience with machine learning frameworks (e.g., TensorFlow ...

Data Engineer

Suitland, MD · On-site

$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

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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 8, 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:
Principal Sales Specialist, Analytics, Auto & Mfg

Principal Sales Specialist, Analytics, Auto & Mfg

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,823 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

Application deadline: Jun 9, 2026
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping Automotive and Manufacturing customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and you'll create strategic plans that align AWS solutions with their desired outcomes.
You will educate customers on 'art of the possible' success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; Amazon OpenSearch, a managed search and analytics engine; and Amazon QuickSight for embedded analytics and business intelligence dashboards.
You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation across manufacturing operations, connected vehicles, supply chain optimization, and industrial IoT use cases. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case.
The ideal candidate combines strategic sales leadership with deep technical and business acumen. You will collaborate across AWS teams, including sales representatives, solutions architects, product managers, professional services, and partners to drive customer success. You should have experience engaging confidently with both C-suite executives and technical stakeholders, demonstrating the ability to translate complex technical solutions into clear business value. Your background should reflect success in building consensus across organizations, developing compelling value propositions, and navigating technical and business challenges. Experience in strategic analysis, enterprise sales, and technical solution development is essential, as you'll need to understand both the technical architecture and business implications of modern data and AI solutions.
Key job responsibilities
• Drive revenue and market share in a defined territory.
• Meet or exceed annual revenue targets.
• Develop and execute against a comprehensive account/territory plan.
• Develop working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports.
• Create & articulate compelling value propositions around AWS analytics services.
• Accelerate customer adoption of Amazon analytics services.
• Maintain a robust sales pipeline leveraging sales force automation tools and best practices.
• Work with partners to extend reach & drive adoption.
• Develop long-term strategic relationships with key accounts.
• Ensure customer satisfaction.
• Expect moderate travel.
A day in the life
You're surrounded by innovation. You're empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1".
About the team
We are a team that values diverse perspectives, collaboration, knowledge sharing, and trust.
BASIC QUALIFICATIONS
- 10+ years of cloud architecture and solution implementation experience
- 10+ years of technology related sales, business development or equivalent experience
- Experience with analytical tools and ability to dive deep into metrics and reporting
- 5+ years of technology sales experience
PREFERRED QUALIFICATIONS
- Experience with AWS technologies
- Experience developing detailed go to market plans
- Experience in automotive, manufacturing, industrial, or supply chain industries
- Familiarity with Industry 4.0 concepts including IoT, digital twins, connected vehicles, predictive maintenance, and smart factory analytics
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, restricted stock units (RSUs), and sales incentives. 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, CA, Irvine - 170,000.00 - 230,000.00 USD annually
USA, CA, San Diego - 170,000.00 - 230,000.00 USD annually
USA, CA, San Francisco - 187,000.00 - 252,900.00 USD annually
USA, CO, Denver - 170,000.00 - 230,000.00 USD annually
USA, IL, Chicago - 170,000.00 - 230,000.00 USD annually
USA, TX, Austin - 170,000.00 - 230,000.00 USD annually
USA, TX, Dallas - 170,000.00 - 230,000.00 USD annually
USA, WA, Seattle - 170,000.00 - 230,000.00 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