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Internship Amazon Cpt Jobs (NOW HIRING)

Lead DevOps Engineer

Mclean, VA · On-site

$53.25 - $73/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Lead DevOps Engineer

Mclean, VA

$53.25 - $73/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Senior Software Engineer, DevOps

Plano, TX · On-site

$124K - $159K/yr

At least 3 years of experience in DevOps Engineering (Internship experience does not apply) * At ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Internship Amazon Cpt information

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$13

$25

$38

How much do internship amazon cpt jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship amazon cpt in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Amazon Cpt vs Amazon Data Analyst Intern?

AspectInternship Amazon CptAmazon Data Analyst Intern
Required CredentialsBasic knowledge of cloud computing, AWS certifications preferredDegree in Data Science, Statistics, or related field; SQL and Excel skills
Work EnvironmentRemote or onsite, cloud-focused projectsOffice or remote, data analysis and reporting tasks
Employer & Industry UsageAmazon's cloud services division, tech industryAmazon's analytics teams, e-commerce and tech sectors
Search & Comparison IntentInternship in cloud computing at AmazonData analysis internship at Amazon

The Internship Amazon Cpt focuses on cloud computing and AWS-related projects, while the Amazon Data Analyst Intern role emphasizes data analysis, reporting, and insights. Both internships are valuable entry points into Amazon but target different skill sets and career paths within the company.

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Entry-Level Machine Learning Engineer

Entry-Level Machine Learning Engineer

SynergisticIT

Denver, CO

Other

Posted 18 days ago


Job description

Junior Machine Learning Engineer

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure.

Role Description

Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in production. Duties include data preprocessing, feature engineering, versioning ML models, and integrating machine learning components with live products. You will actively collaborate on project teams utilizing AWS Glue, Databricks, PySpark, TensorFlow, and Azure Data Lake, and contribute to code reviews and documentation tasks.

Required Skills

The role expects demonstrable familiarity with Python, cloud-based ML pipelines, and at least one framework among PyTorch, TensorFlow, or scikit-learn. Industry tools like Databricks for big data processing and Azure Data Lake for managing unstructured datasets are highly valued. Ability to work with code repositories (Git), conduct error analysis, and communicate findings in a business-friendly manner are required. U.S. companies demand project-based evidence of your skills—real internship or portfolio work utilizing modern ML stacks makes you stand out.

Eligibility

Open to all those authorized to work in the U.S., including OPT and CPT visa holders.

Skills Development Path

If you're missing pieces of the ML and cloud deployment stack, the SynergisticIT Job Placement Program offers direct instruction and real project exposure in the precise technologies companies hire for. Supplement your journey with YouTube event recordings, industry blogs, sample interview questions, and the USA Today article. Java Job placement Program Data Science Job Placement Program for getting Hired

SynergisticIT Client Network

SynergisticIT's connections to giants like Facebook, Google, Uber, Amazon, Apple, Twitter, JPMorgan, Walmart Labs, SAP, TCS, and Capgemini ensure broad exposure to high-impact ML roles. Participants secure salaries of $95K–$150K after placement. Master both ML concepts and their real-world cloud deployment by leveraging SynergisticIT's industry-proven curriculum and client relationships, opening doors to the most in-demand U.S. ML engineering jobs.