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Junior Aws Machine Learning Jobs (NOW HIRING)

CGI Inc.

Senior AWS Cloud Architect

Lafayette, LA · On-site

$61.75 - $81.25/hr

AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise ... The ideal candidate should have experience deploying ML models into production, working with AWS ...

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Junior Aws Machine Learning information

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$46.5K

$94.5K

$142K

How much do junior aws machine learning jobs pay per year?

As of Jul 20, 2026, the average yearly pay for junior aws machine learning in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

What are Junior AWS Machine Learning engineers?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

What are the key skills and qualifications needed to thrive as a Junior AWS Machine Learning Engineer, and why are they important?

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

What are some common challenges faced by Junior AWS Machine Learning Engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

What is the difference between Junior Aws Machine Learning vs Data Scientist?

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

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What cities are hiring for Junior Aws Machine Learning jobs? Cities with the most Junior Aws Machine Learning job openings:
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Junior Aws Machine Learning jobs near you
Infographic showing various Junior Aws Machine Learning job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.
Software Development Manager, AWS Neuron Frameworks

Software Development Manager, AWS Neuron Frameworks

Amazon

Cupertino, CA • On-site

$152K - $201K/yr

Full-time

Re-posted 17 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We're seeking a Software Development Manager to lead our Frameworks team within AWS Neuron, the software stack powering AWS Inferentia and Trainium machine learning accelerators. This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS.
As the Software Development Manager, you will lead and mentor a high-performing team of software engineers while driving the development and maintenance of critical Neuron framework components. You'll drive cross-functional collaboration with compiler, runtime, and kernel development teams to ensure seamless integration of Neuron with major machine learning frameworks

You will also contribute technically by reviewing designs and implementing features.
A crucial aspect of your role will be building and nurturing strategic relationships with open-source communities, particularly with JAX, OpenXLA, and PyTorch/XLA. You'll work closely with these communities to align framework development roadmaps with Neuron's strategic objectives, ensuring our customers have access to the latest ML framework innovations.
In this role, you'll be instrumental in shaping how developers interact with AWS's machine learning accelerators, ensuring our customers can easily adopt and benefit from the latest advancements in ML frameworks. The position offers an opportunity to work at the intersection of cloud computing, machine learning, and open-source software, while leading a team that directly influences the future of ML acceleration at AWS.
The ideal candidate will bring proven experience managing software development teams and a strong background in machine learning frameworks and acceleration software

You should have a demonstrable track record of successful open-source collaboration and contributions, along with experience working with ML frameworks such as PyTorch or JAX. Excellence in cross-functional team leadership and communication is essential.
Key job responsibilities
* Responsible for the overall systems development life cycle
* Management and execution against project plans and delivery commitments
* Manage the day-to-day activities of the engineering team
* Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team
* Report on status of development, quality, operations, and system performance to management.

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

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