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Amazon Machine Learning Jobs in Tennessee (NOW HIRING)

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 ...

AI Data Engineer Senior Consultant

Nashville, TN · On-site +1

$102.40K - $139.10K/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 ...

... Amazon Web Services, and Google Cloud Platform, including integrations • Develop and maintain ... administration, machine learning operations (MLOps), or infrastructure setup • Limited ...

Sr Databricks Data Engineer

Nashville, TN · On-site

$110.60K - $132.80K/yr

... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ... machine learning use cases on cloud data platforms Company : Deloitte is a business consulting ...

Managing Consultant, AI & Data

Bogota, TN · On-site +1

$141K - $235K/yr

... machine learning Skilled in one or several programming languages, such as Python, PySpark, R, SQL, as well as version control software (e.g., Git) Familiarity with cloud platforms (e.g., Amazon Web ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services ...

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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 May 29, 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 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 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 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 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:
Infographic showing various Amazon Machine Learning job openings in Tennessee as of May 2026, with employment types broken down into 92% Full Time, 3% Part Time, 1% Contract, 3% Nights, and 1% Summer. Highlights an 100% Physical job distribution, with an average salary of $38,650 per year, or $18.6 per hour.
Senior Risk Manager, Transportation Risk and Compliance

Senior Risk Manager, Transportation Risk and Compliance

Amazon

Nashville, TN • On-site

Full-time

Posted 4 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

Want to help Earth's most customer-centric company design, implement and monitor risk mitigation strategies to improve the customer experience and protect Amazon's brand?
In this role, you will work closely with Amazon's global transportation businesses to build strategic initiatives and frameworks that support carrier partners in meeting legal and contractual obligations relating to business practices, driver / provider eligibility, and safety standards. You will be expected to understand laws and regulations applicable to the Amazon transportation network, assess effectiveness of existing risk and control concepts, and propose innovative mitigation strategies that enable business success. You must clearly and concisely communicate identified findings to senior leadership, and will be responsible for partnering with cross-functional teams to design workflows in support of risk-reduction activities.

You will set program objectives, assign appropriate metrics that measure success, and drive business changes that reduce risk. You will work collaboratively with business stakeholders, legal, tech, and field operations teams to implement world-class, customer-centric, compliance and risk management solutions.
Key job responsibilities
- Proficient in establishing and managing regulatory intake and tracking systems to systematically capture, prioritize, and monitor incoming global transportation regulations, while coordinating with cross-functional stakeholders to assess impact, determine implementation requirements, and drive timely responses through structured project management tools.
- Ability to define, develop, and implement risk programs and deploy iterative improvements quantified with metrics.
- Adept at leading, monitoring, and driving projects through to on-time completion.
- Develop integration of advanced technologies strategy for AI, machine learning, and other emerging technologies to enhance risk detection and mitigation capabilities.
- Skilled at establishing successful partnerships (collaboratively and transparently) with senior business leadership, legal, and technology teams to ensure alignment between core business priorities and transportation compliance risk strategies.
- Skilled at maintaining awareness of emerging regulatory trends to proactively anticipate compliance requirements.
- Developing an in-depth knowledge of the operational processes, risk landscapes, and control environments impacting global transportation compliance programs.
- Demonstrable excellent communication skills (written and verbal).
- Demonstrable problem-solving skills using data and insights to drive both tactical and strategic business decisions.
A day in the life
The Senior Risk Manager will leverage their their experience in risk management, execution of risk assessments, knowledge of labor and employment laws, and insight into industry regulations and standards to develop mitigation strategies that influence Amazon's transportation businesses throughout all phases of their lifecycle

The individual will work collaboratively with business stakeholders, legal, finance, partner audit teams, and tech to implement world-class, customer-centric, risk-reducing solutions and drive process improvements. The Senior Risk Manager executes using a broad set of skills that range from high-level strategic thinking to deep dive analytical problem solving. They exemplify high judgment, effective decision-making, innovative thinking, clear communications, and a strong customer focus.


About the team
Transportation Risk and Compliance (TRC) is the voice of risk and compliance for Amazon's transportation businesses across 24 countries. We proactively identify and manage risks through mitigation strategies and provide assurance that Amazon and our carrier partners comply with the highest transportation and legal standards (including legislative, regulatory, and contractual). Anchored by sound subject matter expertise, processes, and growing technology solutions, our TRC leaders improve public safety and enable business growth as we work diligently to serve our customers.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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