ZipRecruiter

Log In

1

Amazon Machine Learning Jobs in Tennessee (NOW HIRING)

Deloitte

AI Solutions Architect

Nashville, TN · On-site

$60.75 - $80.25/hr

Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks * Ability to ...

Deloitte

AI and Data Science Engineer III

Nashville, TN · On-site +1

$110K - $132K/yr

... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management * 4+ years of experience using Amazon ...

Deloitte

Software Product Architect

Hermitage, TN · On-site

... machine learning initiatives, including production model deployment and monitoring * 5+ years of hands-on experience with Python, Structured Query Language, and PySpark on Azure, Amazon Web Services ...

Deloitte

Software Product Architect

Nashville, TN · On-site

... machine learning initiatives, including production model deployment and monitoring * 5+ years of hands-on experience with Python, Structured Query Language, and PySpark on Azure, Amazon Web Services ...

next page

Showing results 1-20

All JobsAmazon Machine Learning JobsAmazon Machine Learning Jobs in Tennessee

Amazon Machine Learning information

See Tennessee salary details

$23.1K

$38.6K

$79.9K

How much do amazon machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for amazon machine learning in Tennessee is $38,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,800.00 per year, depending on experience, location, and employer.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

What are popular job titles related to Amazon Machine Learning jobs in Tennessee? For Amazon Machine Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Amazon Machine Learning jobs in Tennessee look for? The top searched job categories for Amazon Machine Learning jobs in Tennessee are:
Amazon Machine Learning jobs near you
Software Development Engineer, WHS Data-Tech

Software Development Engineer, WHS Data-Tech

Amazon

Nashville, TN • On-site

$110K - $132K/yr

Full-time

Posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,874 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We're looking for a Software Development Engineer to help build the AI and computer vision systems that keep Amazon's workforce safe. This is a chance to work at the intersection of advanced machine learning and real-world impact, writing code that helps reduce workplace injuries for over 1.5 million people.
You'll join a team of engineers and applied scientists developing computer vision applications, real-time inference systems, and cloud-native services that detect and prevent safety risks across Amazon's global operations. You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal tools and APIs

If you're excited about building systems that combine deep learning, distributed computing, and IoT, and you want to see your code make a tangible difference in people's lives, this is the role for you.
Key job responsibilities
- Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
- Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
- Develop APIs and backend services that integrate ML model outputs with internal safety tools and dashboards
- Collaborate with applied scientists to productionize machine learning models - handling model serving, inference optimization, and deployment workflows
- Write clean, well-tested, and maintainable code while contributing to code reviews, design documents, and architectural decisions
- Operate and maintain services in production, including monitoring, alarming, troubleshooting, and incident response
- Identify opportunities to improve system performance, scalability, and reliability as the platform scales to new sites and use cases
About the team
Amazon's Workplace Health & Safety (WHS) organization is responsible for keeping over 1.5 million employees safe across our global retail operations. Within WHS, our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale.
We're a cross-functional group of software engineers, applied scientists, data engineers, and technical program managers developing computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace safety incidents. You'll work closely with applied scientists and ML engineers to take models from research to production, and collaborate with TPMs and product managers to deliver solutions that safety professionals rely on every day

Our culture values technical ownership, curiosity, and shipping systems that create measurable real-world impact.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

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

View All Amazon Jobs

Apply