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Internship Aws Sagemaker Jobs (NOW HIRING)

TIFIN

Junior Data Scientist

Charlotte, NC

$100K - $125K/yr

Work with AWS (SageMaker, Redshift, S3) and/or Snowflake environments. * Assist in designing A/B ... internships and academic projects count). * Foundational supervised learning knowledge and ...

Aivra Health LLC

$28 - $45/hr

AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes ... Prior ML internship or academic research experience * Experience deploying models into production

Aivra Health LLC

$28 - $45/hr

AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes ... Prior ML internship or academic research experience * Experience deploying models into production

Aivra Health LLC

$28 - $45/hr

AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes ... Prior ML internship or academic research experience * Experience deploying models into production

IntelliTrans

Applied AI Engineer

Atlanta, GA · On-site

... internships and professional experience considered). * Demonstrated experience building and ... Snowflake, AWS SageMaker). * Experience in supply chain, logistics, freight management, or ...

IntelliTrans

Applied AI Engineer

Atlanta, GA · On-site

... internships and professional experience considered). * Demonstrated experience building and ... Snowflake, AWS SageMaker). * Experience in supply chain, logistics, freight management, or ...

TIFIN

Junior Data Scientist

Charlotte, NC · On-site

$100K - $125K/yr

Work with AWS (SageMaker, Redshift, S3) and/or Snowflake environments. * Assist in designing A/B ... internships and academic projects count). * Foundational supervised learning knowledge and ...

Lthc

AI Engineer I/II

Buffalo, NY · On-site

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Dewitt, MI

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Binghamton, NY · On-site

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Utica, NY

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Albany, NY · On-site

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Albany, NY · On-site

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Rochester, NY

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Dewitt, MI · On-site

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

Lthc

AI Engineer I/II

Utica, NY · On-site

Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ... Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ...

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How much do internship aws sagemaker jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for internship aws sagemaker in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS SageMaker Intern, and why are they important?

To thrive as an AWS SageMaker Intern, you need a solid understanding of machine learning concepts, Python programming, and data analysis, typically supported by coursework or academic projects. Familiarity with AWS cloud services, SageMaker, Jupyter Notebooks, and relevant certifications such as AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty is highly beneficial. Strong problem-solving abilities, eagerness to learn, and clear communication skills help interns stand out in collaborative environments. These skills and qualities are essential for successfully developing and deploying machine learning models while adapting to real-world cloud-based workflows.

What is an Internship in AWS SageMaker?

An Internship in AWS SageMaker typically involves working with Amazon's cloud-based machine learning platform, SageMaker, to develop, train, and deploy machine learning models. Interns may assist with data preparation, model selection, and deployment tasks, as well as collaborate with data scientists and engineers on real-world projects. The internship offers hands-on experience with cutting-edge ML tools, exposure to cloud computing, and opportunities to learn industry best practices. It's ideal for students or recent graduates interested in machine learning and cloud technologies.

What types of projects can an intern working with AWS SageMaker typically expect to work on?

As an intern focused on AWS SageMaker, you can expect to work on projects involving building, training, and deploying machine learning models using the SageMaker platform. Typical tasks include data preprocessing, experimenting with different algorithms, optimizing model performance, and integrating SageMaker with other AWS services. You'll often collaborate with data scientists, engineers, and product managers, gaining hands-on experience in real-world ML workflows. These projects provide valuable exposure to both the technical aspects of machine learning and the best practices for working in cloud-based environments.

What is the difference between Internship Aws Sagemaker vs Data Scientist Intern?

AspectInternship Aws SagemakerData Scientist Intern
Required SkillsBasic knowledge of AWS, machine learning, PythonStatistics, data analysis, Python/R, machine learning
Work EnvironmentCloud platform, AWS services, collaborative teamsData analysis, modeling, research teams
Industry UsageTech, cloud services, AI developmentTech, finance, healthcare, research

Internship Aws Sagemaker focuses on hands-on experience with AWS cloud services and deploying machine learning models, while Data Scientist Interns work on analyzing data, building models, and deriving insights. Both roles require programming skills and familiarity with machine learning, but Internship Aws Sagemaker emphasizes cloud deployment and AWS tools, whereas Data Scientist Internships focus more on data analysis and statistical modeling.

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Internship Aws Sagemaker jobs near you
Junior Data Scientist

Junior Data Scientist

TIFIN

Charlotte, NC

$100K - $125K/yr

Other

Posted 17 days ago

Job description

ROLE OVERVIEW

As a Junior Data Scientist, you will contribute to the ML growth engine behind TIFIN AMP - a production machine learning platform driving acquisition, expansion, retention, and distribution intelligence across wealth enterprises and asset managers. This is an individual contributor role with close collaboration with senior data scientists, engineering, and customer success. You will gain hands-on exposure across the full ML lifecycle while growing your skills in a fast-moving, finance-native AI environment.

PROJECTS

  • Client Retention & Churn Prevention. Build early-warning models that detect signals of potential client attrition, allowing advisors to proactively intervene.
  • Asset Consolidation. Develop predictive models that identify clients most likely to consolidate additional assets with the firm, enabling advisors to proactively deepen relationships and increase assets under management.
  • Cross-Sell & Wallet Share Growth. Design models that identify the highest-propensity opportunities for additional products and services within existing client relationships.
  • Advisor & Prospect Prioritization. Create scoring frameworks that rank advisors and prospects by growth potential, enabling sales teams to focus on the most impactful opportunities.
  • Product-Advisor Matching. Develop models that predict product-advisor fit and likelihood of engagement, improving targeting and accelerating product adoption.

WHAT YOU'LL DO

  • Participate in the full ML lifecycle under senior guidance: EDA feature engineering training validation deployment monitoring.
  • Support end-to-end model implementation for one or more enterprise clients.
  • Help engineer feature pipelines across AUM, transactions, CRM, and third-party datasets.
  • Work with AWS (SageMaker, Redshift, S3) and/or Snowflake environments.
  • Assist in designing A/B tests and control frameworks to measure lift in inflows and conversion.
  • Translate model outputs into clear, actionable intelligence used daily by advisors and wholesalers.

WHAT YOU'LL BRING

  • 1-2+ years of experience in data science, ML engineering, or a related quantitative field (internships and academic projects count).
  • Foundational supervised learning knowledge and eagerness to deepen it in production environments.
  • Exposure to consumer behavior modeling, time-series, or lifecycle analytics is a plus.
  • Proficiency in Python and SQL; familiarity with AWS or Snowflake is a bonus.
  • Strong communication skills and a bias toward shipping measurable, tangible impact.
  • Curiosity, humility, and a desire to learn fast in a collaborative, high-growth environment.
COMPENSATION AND BENEFITS

$100,000 - $125,000 USD

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