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Aws Sagemaker Jobs (NOW HIRING)

Diverse Lynx

AWS Cloud Devops Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment. * Design solutions for large data ...

Judge Group, Inc.

AWS Cloud Engineer

Minneapolis, MN · On-site

$110K - $120K/yr

Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment. Design solutions for large data ...

Perficient

Lead SageMaker Platform Engineer

Saint Louis, MO · On-site

$96K - $126K/yr

Rapidly triage failures using AWS logs and telemetry (CloudWatch, CloudTrail, SageMaker pipeline/execution logs, etc.) and pinpoint root causes. * Untangle permissions issues across pipeline ...

Tata Consultancy Services

Sr. AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

... SageMaker, Glue, ELB, FSx, ECR, and Secrets Manager. • Lead on-premises to AWS cloud data migration initiatives, including planning, execution, validation, and cutover. • Architect and configure ...

SkilzMatrix Digital

MLOps Engineer

Dallas, TX · On-site

$55.50 - $74/hr

Practical firsthand experience with cloud MLOps and Data Analytics platforms, preferably AWS SageMaker, Glue, EMR, Athena. o Best Practices: Familiarity with best practices for MLOps and Data ...

ClifyX

AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment. Design solutions for large data ...

CYNET SYSTEMS

AI/ML Engineer

Aliso Viejo, CA · On-site

$52 - $57/hr

AWS SageMaker (Training, Deployment, Endpoints) - 2-3+ years (Hands-on). * Data Preprocessing & Feature Engineering - 3+ years. * Model Evaluation Techniques - 3+ years. * Version Control (Git) - 2+ ...

Symbioun Technologies, Inc

AWS Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Experience with AWS SageMaker, Azure ML, Google Vertex AI, and PyTorch * Expertise in designing secure AI/ML solutions in public, private, or hybrid cloud environments * Knowledge of AI ethics ...

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do Squad: Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday ...

CTC USA, LLC

MLOPS Platform Engineer

Plano, TX · On-site

AWS , * SAGEMAKER* CLASSIC STUDIO , SAGEMAKER STUDIO About CTC: Founded in 1996, CTC is a global IT services, Consulting and Business Solutions partner dedicated to helping organizations innovate ...

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How much do aws sagemaker jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for aws sagemaker in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Aws Sagemaker position, and why are they important?

To excel in an AWS SageMaker-focused role, you need strong expertise in machine learning, data science, and cloud computing, often supported by a degree in computer science or a related field. Experience with AWS SageMaker, other AWS services (like S3 and Lambda), and certifications such as AWS Certified Machine Learning – Specialty are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help set candidates apart. Mastery of these areas ensures successful design, deployment, and management of scalable AI/ML solutions in dynamic business environments.

What are the main day-to-day responsibilities for someone working with AWS SageMaker?

Day-to-day responsibilities for AWS SageMaker professionals typically include building, training, and deploying machine learning models using the SageMaker platform, preprocessing data, and monitoring the performance of deployed models. You'll often collaborate with data engineers, software developers, and business stakeholders to understand project requirements and deliver solutions that meet business objectives. Routine tasks may also involve tuning model hyperparameters, optimizing resource usage, and ensuring data security and compliance within AWS environments. This hands-on, collaborative workflow provides the opportunity to directly impact business outcomes while continuously developing your technical expertise.

What is an AWS SageMaker job?

An AWS SageMaker job typically refers to a role focused on building, training, and deploying machine learning models using Amazon SageMaker. Professionals in this role work with data preprocessing, model optimization, and cloud-based machine learning workflows. Responsibilities may include automating ML pipelines, monitoring performance, and integrating SageMaker with other AWS services. Knowledge of Python, TensorFlow, PyTorch, and AWS services is often required.

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Aws Sagemaker jobs near you
Infographic showing various Aws Sagemaker job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 85% Full Time, 3% Temporary, 3% Contract, and 6% Nights. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.
AWS Cloud Devops Engineer

AWS Cloud Devops Engineer

Diverse Lynx

Minneapolis, MN • On-site

$58.25 - $77.75/hr

Other

Posted 11 days ago

Job description

Role: AWS Cloud Engineer
Location: Minneapolis, MN (Onsite)
Duration: 6 months
Contract
**LOCAL PROFILES ONLY** - need to be ready for in person interview!
Descriptions:
We are seeking a Senior AWS Cloud Engineer with deep hands-on experience in architecting, implementing, and migrating large-scale data solutions on AWS. This role focuses on on-premises to AWS data migration, large data storage architectures, and enterprise-grade data transfer solutions using AWS DataSync, S3 replication, and related AWS services. The ideal candidate will lead technical design, implementation, and optimization efforts while working closely with architecture, infrastructure, and security teams.
Key Responsibilities
  • Design and implement scalable, secure, and cost-optimized AWS data storage architectures for large datasets.
  • Configure and manage AWS services including EC2, S3, RDS, Lambda, VPC, IAM, Route 53, DataSync, S3 Replication, SageMaker, Glue, ELB, FSx, ECR, and Secrets Manager.
  • Lead on-premises to AWS cloud data migration initiatives, including planning, execution, validation, and cutover.
  • Architect and configure AWS DataSync for high-volume, reliable data transfers between on-prem systems and AWS.
  • Implement and manage Amazon S3 replication (CRR/SRR), lifecycle policies, encryption, and access controls.
  • Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment.
  • Design solutions for large data ingestion, archival, backup, and disaster recovery using AWS services.
  • Perform hands-on implementation of AWS infrastructure using best practices and Infrastructure as Code (IaC).
  • Implement CI/CD pipelines using Jenkins or similar tools.
  • Optimize data transfer performance, storage costs, and data durability.
  • Collaborate with application, database, network, and security teams to ensure seamless integrations.
  • Troubleshoot and resolve complex data migration and storage issues.
  • Enforce AWS security, governance, and compliance standards for data protection.
Required Qualifications
  • 7+ years of experience in cloud engineering, with at least 4+ years of hands-on AWS experience.
  • Strong hands-on experience with:
  • AWS DataSync
  • Amazon S3 (replication, lifecycle policies, versioning, encryption) AWS SageMaker Large-scale data storage and migration Proven experience migrating terabytes to petabytes of data from on-premises environments to AWS.
  • Strong understanding of networking concepts (VPN, Direct Connect, bandwidth optimization).
  • Experience designing high-availability, fault-tolerant cloud architectures.
  • Hands-on experience with Infrastructure as Code (CloudFormation, Terraform, or equivalent).
  • Solid understanding of IAM, encryption (KMS), and AWS security best practices.
  • Ability to architect solutions, not just operate them.

Role Descriptions: AWS Cloud Devops engineer
Essential Skills: AWS Devops engineer
Skills: AWS DevOps and Automation
Experience Required: 6-8
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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