Minneapolis, MN · On-site
$58.25 - $77.75/hr
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 ...
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Minneapolis, MN · On-site
$58.25 - $77.75/hr
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 ...
Raleigh, NC · On-site
AWS Glue, AWS Lambda, EMR, Athena, Amazon Managed Service for Apache Flink,AWS Step Functions, AWS SageMaker Required 7 Years * Experience with DevOps practices and automation tools Required 7 Years
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Raleigh, NC · On-site
AWS Glue, AWS Lambda, EMR, Athena, Amazon Managed Service for Apache Flink,AWS Step Functions, AWS SageMaker Required 7 Years * Experience with DevOps practices and automation tools Required 7 Years
Cincinnati, OH · Hybrid
$53.50 - $71.50/hr
Architect solutions using AWS Lambda, API Gateway, Step Functions, SageMaker, RDS (Aurora MySQL), DynamoDB, S3, Glue, Athena, Kinesis Firehose, EventBridge, CloudFormation, CDK, CodePipeline.
Cincinnati, OH · Hybrid
$53.50 - $71.50/hr
Architect solutions using AWS Lambda, API Gateway, Step Functions, SageMaker, RDS (Aurora MySQL), DynamoDB, S3, Glue, Athena, Kinesis Firehose, EventBridge, CloudFormation, CDK, CodePipeline.
Cincinnati, OH · On-site
$53.50 - $71.50/hr
Architect solutions using AWS Lambda, API Gateway, Step Functions, SageMaker, RDS (Aurora MySQL), DynamoDB, S3, Glue, Athena, Kinesis Firehose, EventBridge, CloudFormation, CDK, CodePipeline.
Cincinnati, OH · On-site
$53.50 - $71.50/hr
Architect solutions using AWS Lambda, API Gateway, Step Functions, SageMaker, RDS (Aurora MySQL), DynamoDB, S3, Glue, Athena, Kinesis Firehose, EventBridge, CloudFormation, CDK, CodePipeline.
Washington, DC · On-site
$64.98/hr
Develop algorithms, scripts, and predictive analytics using AWS Sagemaker, AWS Bedrock, AWS AgentCore, and other AI & ML tools to turn disparate data into objective decisions. * Build and maintain ...
Washington, DC · On-site
$64.98/hr
Develop algorithms, scripts, and predictive analytics using AWS Sagemaker, AWS Bedrock, AWS AgentCore, and other AI & ML tools to turn disparate data into objective decisions. * Build and maintain ...
Washington, DC · Hybrid
Develop algorithms, scripts, and predictive analytics using AWS Sagemaker, AWS Bedrock, AWS AgentCore, and other AI & ML tools to turn disparate data into objective decisions. * Build and maintain ...
Washington, DC · Hybrid
Develop algorithms, scripts, and predictive analytics using AWS Sagemaker, AWS Bedrock, AWS AgentCore, and other AI & ML tools to turn disparate data into objective decisions. * Build and maintain ...
The position operates within a modern analytics environment leveraging Amazon Redshift, AWS SageMaker, and AWS CodeCommit to build scalable analytical workflows and production-ready models. We are ...
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The position operates within a modern analytics environment leveraging Amazon Redshift, AWS SageMaker, and AWS CodeCommit to build scalable analytical workflows and production-ready models. We are ...
Jersey City, NJ · On-site +1
$69 - $90.75/hr
Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow. Technical Leadership * Lead design reviews, technical workshops, and blueprint sessions. * Mentor ...
Jersey City, NJ · On-site +1
$69 - $90.75/hr
Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow. Technical Leadership * Lead design reviews, technical workshops, and blueprint sessions. * Mentor ...
Hillsboro, OR · On-site
Perform lightweight training with AWS SageMaker, AutoML, and deploy inference endpoints. AWS Engineering: Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for scalable AI ...
Hillsboro, OR · On-site
Perform lightweight training with AWS SageMaker, AutoML, and deploy inference endpoints. AWS Engineering: Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for scalable AI ...
Azure Kubernetes service, AWS Sagemaker/MLFlow Roles & Responsibilities: 1. Ensure reliability and cost saving. Scale the proof of concept product to enterprise grade application with all the ...
Azure Kubernetes service, AWS Sagemaker/MLFlow Roles & Responsibilities: 1. Ensure reliability and cost saving. Scale the proof of concept product to enterprise grade application with all the ...
Azure Kubernetes service, AWS Sagemaker/MLFlow Roles & Responsibilities: 1. Ensure reliability and cost saving. Scale the proof of concept product to enterprise grade application with all the ...
Azure Kubernetes service, AWS Sagemaker/MLFlow Roles & Responsibilities: 1. Ensure reliability and cost saving. Scale the proof of concept product to enterprise grade application with all the ...
Malvern, PA · On-site
$102K - $140K/yr
CITY - Malvern, PA Duration: 6 months Experience Required: 8-10 ROLE_DESCRIPTION - Strong hands‑on experience with AWS SageMaker for end‑to‑end ML development (data prep, training, tuning ...
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Malvern, PA · On-site
$102K - $140K/yr
CITY - Malvern, PA Duration: 6 months Experience Required: 8-10 ROLE_DESCRIPTION - Strong hands‑on experience with AWS SageMaker for end‑to‑end ML development (data prep, training, tuning ...
Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...
Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...
San Antonio, TX · On-site
Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...
San Antonio, TX · On-site
Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...
San Antonio, TX · On-site
Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...
San Antonio, TX · On-site
Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...
Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...
Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...
Malvern, PA · Hybrid
ML models AWS SageMaker AWS services Responsibilities - Design develop and optimize complex data pipelines using machine learning engineering best practices to ensure scalability efficiency and ...
Malvern, PA · Hybrid
ML models AWS SageMaker AWS services Responsibilities - Design develop and optimize complex data pipelines using machine learning engineering best practices to ensure scalability efficiency and ...
San Antonio, TX · On-site
Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...
San Antonio, TX · On-site
Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and ...
San Antonio, TX · On-site
Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...
San Antonio, TX · On-site
Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning. * Develop and ...
Cincinnati, OH · On-site
$109K - $132K/yr
This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker. Key Responsibilities: * Build and maintain ...
Cincinnati, OH · On-site
$109K - $132K/yr
This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker. Key Responsibilities: * Build and maintain ...
$11.30 - $17.31
0% of jobs
$17.31 - $23.32
0% of jobs
$23.32 - $29.33
0% of jobs
$29.33 - $35.34
17% of jobs
$39.71 is the 25th percentile. Wages below this are outliers.
$35.34 - $41.35
11% of jobs
$41.35 - $47.36
2% of jobs
$47.36 - $53.37
13% of jobs
The median wage is $55.58 / hr.
$53.37 - $59.38
20% of jobs
$63.62 is the 75th percentile. Wages above this are outliers.
$59.38 - $65.38
18% of jobs
$65.38 - $71.39
11% of jobs
$71.39 - $77.40
8% of jobs
$11
$54
$77
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.
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.
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.
$58.25 - $77.75/hr
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Job Title: AWS Cloud Engineer
Location: Minneapolis, MN (LOCAL PROFILES ONLY)
Experience: 10+ Years
Job Description
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 Data Sync 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 Sage Maker, 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.
Keyword
AWS DevOps and Automation
