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Temp Aws Sagemaker Jobs (NOW HIRING)

Leverage AWS (SageMaker/Bedrock) and Databricks to ensure models are performant, scalable, and ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Experience with cloud ML infrastructure (AWS SageMaker, GCP Vertex, or equivalent) * Domain ... temporary roles are not eligible for the above benefits. Compensation Pay Range: $160k - $240k ...

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Explore a career with A & Associates, one of the leading providers for temporary, temp-to-hire ... Strong experience with AWS data services (Glue, Kinesis, RDS, SageMaker) * Advanced SQL skills and ...

... AWS services (Lambda, API Gateway, S3, SageMaker, Bedrock) Experience with both SQL and NoSQL ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Proven work experience using AWS services: Deploy the models in Sagemaker, cloud-based data ... Fidelity TalentSource, is the in-house temporary staffing provider for Fidelity Investments. Unlike ...

... more of using AWS services Preferred Skills * 6 or more months working at Labcorp as a Data ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

... more of using AWS services Preferred Skills * 6 or more months working at Labcorp as a Data ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Temp Aws Sagemaker information

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$10

$70

$95

How much do temp aws sagemaker jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for temp aws sagemaker in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.

What is the difference between Temp Aws Sagemaker vs Data Scientist?

AspectTemp Aws SagemakerData Scientist
Required CredentialsAWS certifications, programming skills (Python, R)Statistics, data analysis, programming (Python, R)
Work EnvironmentCloud platforms, machine learning projectsData analysis, modeling, research
Employer & Industry UsageTech companies, cloud service providersVarious industries including finance, healthcare, tech

Temp Aws Sagemaker roles focus on deploying and managing machine learning models on AWS cloud, requiring cloud certifications and technical skills. Data Scientists analyze data, build models, and interpret results across diverse industries. While both roles involve machine learning, Temp Aws Sagemaker specialists are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and modeling.

What cities are hiring for Temp Aws Sagemaker jobs? Cities with the most Temp Aws Sagemaker job openings:
What are the most commonly searched types of Aws Sagemaker jobs? The most popular types of Aws Sagemaker jobs are:
What states have the most Temp Aws Sagemaker jobs? States with the most job openings for Temp Aws Sagemaker jobs include:
Infographic showing various Temp Aws Sagemaker job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 50% Full Time, 3% Part Time, 44% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.
Data Scientist

Data Scientist

AllSTEM Connections

San Francisco, CA • On-site

$187K/yr

Temporary

Medical, Dental, Vision, Retirement

Posted 17 days ago


Job description

We are seeking a high-impact Senior AI & Machine Learning Scientist to join our team. In this role, you will bridge the gap between complex data theory and real-world business solutions, specifically focusing on the intersection of Generative AI and Document Intelligence.
You will be responsible for the end-to-end lifecycle of machine learning models-from initial research and RAG architecture design to deploying scalable solutions within our AWS and Databricks ecosystem. The ideal candidate isn't just a coder, but a technical translator who can turn unstructured data into actionable insights and explain the "how" and "why" to our stakeholders.
Key Responsibilities
Architect & Deploy: Design, build, and maintain production-grade ML models and Generative AI applications (LLMs) using RAG architectures.
Unstructured Data Mastery: Develop "Document AI" pipelines to extract, process, and analyze complex insights from large-scale unstructured datasets.
Cross-Functional Collaboration: Partner with non-technical stakeholders to identify business pain points and engineer technical AI solutions that drive value.
Scale & Optimize: Leverage AWS (SageMaker/Bedrock) and Databricks to ensure models are performant, scalable, and integrated into the broader tech stack.
Lead Innovation: Stay at the forefront of ML frameworks (PyTorch, TensorFlow, Hugging Face) to continuously improve our internal modeling standards.
What You Bring
Advanced Academic Background: A Master's degree in a quantitative field (Data Science, CS, Stats, etc.).
Industry Expertise: 4+ years of professional experience in DS/ML roles with a proven track record of moving models out of the "sandbox" and into production.
Technical Versatility: Deep Python expertise, SQL fluency, and experience with statistical languages (like R or SparklyR).
Cloud & Tooling Savvy: Hands-on experience with AWS AI/ML services; familiarity with Starburst and Databricks is a significant plus.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
IN HOUSE
Branch Phone:
(909) 244-1777
Location:
Ontario, CA