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Junior Aws Machine Learning Jobs (NOW HIRING)

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

... and AWS. * Familiarity with ML workflow best practices. * Interest in applications of machine ... learning in biotechnology * Strong communication skills, both written and verbal * Experience doing ...

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Junior Aws Machine Learning information

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$46.5K

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$142K

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

As of Jun 6, 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 May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.
AIA LS AWS DATA LAKE ARCHITECT

AIA LS AWS DATA LAKE ARCHITECT

Avani Technology Solutions, Inc.

Irvine, CA • On-site

$68.50 - $88/hr

Contractor

Posted 15 days ago

Job description

1.Job title COGNIZANT IS HIRING FOR AWS DATA LAKE ARCHITECT 2.Job summary Oversee end-to-end Architecture including design and maintenance of a scaled Data Lake in AWS for use in Machine Learning and related data analytics. Required availability is 99.9%+ Implement the solution (this is a full-time hands-on software engineering role). Accomplish software solutions to address business issues Provide architectural blueprints and technical leadership to the team 3.Experience 8to12yrs 4.Required Skills Technical Skills- Azure Data Lake Store AWS Machine Learning Domain Skills- 5.Nice to have skills Techincal Skills- Domain Skills- 6.Technology Data Management 7.Shift Day 9AM TO 6PM EST 8.Roles & Responsibilities Research new technologies and proposes changes to the existing architecture by recommending technologies and processes to ensure the highest quality product platform Work with peer organizations quality assurance and end-users to produce software solutions Interpret our requirements to share the needs to be addressed Troubleshoot code level problems and can fix technical issues as they arise Analyze the impact that certain technical choices may have on a client's business processes. Lead a diverse group of project partners and members towards the successful delivery of a project. 9.Job Location Primary: USCAIRIC01-Irvine - CA USA CLT Alternate: 10.Job Type 50CW00 Business Associate 11.Demand Requires Travel? N 12.Certification(s) Required NA
Hours : 8:00am to 5:00pm
Education :
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