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Browse remote AWS positions at AI companies — SageMaker ML platform engineering, cloud AI infrastructure, and MLOps on AWS.
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Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI deve...
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Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems....
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Posted 3 weeks ago
Software Engineer - Backend - Behavioral Security Products
Abnormal Security
Remote - UK
At Abnormal AI, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermin...
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Posted 3 weeks ago
Senior Software Engineer, Site Reliability & Security
WellSaid Labs
Remote - United States
WellSaid is the leading AI voiceover studio for enterprise and professional use. Using carefully sourced voice talent and our proprietary AI model, We...
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Posted 3 weeks ago
Staff Engineer, Identity & Access Management (IAM)
Recursion
Remote Opportunity - United States; Salt Lake City, Utah
Your work will change lives. Including your own. Assess our current state of IAM and revamp our IAM strategy across our products, platforms , cloud/on...
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Posted 3 weeks ago
Manager, ML Solutions Architecture - Token Factory
Nebius
Remote - United States · also open in 1 other location
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, St...
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Posted 3 weeks ago
Site Reliability Engineer (Contract, Rotation-Based)
Invisible Technologies
Estonia - Remote; India - Remote; South Africa - Remote
Invisible is an Applied AI research company closing the gap between frontier models and the enterprise. We provide the platform infrastructure that ma...
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Abnormal AI is hiring a Senior Cloud Security Engineer to build and operate the security systems that protect our FedRAMP authorized environment. You...
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First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, Voxel51, is where AI work happens. Our...
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Role guide
What to expect in remote AWS jobs
AWS is the most widely used cloud platform for AI companies. Remote AWS jobs in this space combine cloud engineering with ML infrastructure knowledge — SageMaker for model training and deployment, S3 and Glue for data pipelines, and Lambda or ECS for serving. Engineers who bridge cloud architecture and ML system design are consistently in demand.
What you'll work on
- Deploy and monitor ML models using SageMaker endpoints and pipelines
- Build scalable data ingestion and processing pipelines with S3 and Glue
- Design cost-efficient ML training infrastructure on EC2 GPU instances
- Create serverless AI feature APIs using Lambda and API Gateway
What companies look for
- SageMaker experience — training jobs, endpoints, and pipelines
- Strong AWS fundamentals — IAM, VPC, S3, EC2, ECS, Lambda
- Infrastructure-as-code with Terraform or CDK
Frequently asked questions
What AWS jobs are available remotely at AI companies?
Cloud engineering roles focused on ML infrastructure — SageMaker pipelines, data lake architecture on S3, and AI service integration. Many also involve ECS or EKS for container orchestration.
Do remote AWS AI jobs require SageMaker experience?
For ML-focused roles, SageMaker experience is a strong advantage. General cloud engineering roles may focus on ECS/EKS, Lambda, or data services instead. Check listings for the specific service stack.
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