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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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We're building a developer platform for LLM applications — think eval frameworks, observability dashboards, prompt versioning, and deployment tooling....
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Posted 7 months ago
Applications closedNebula AI
Remote
We're a 6-person AI startup building a product for the legal industry. We have strong early traction and just closed a pre-seed round. We need our sec...
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Posted 7 months ago
Applications closedCognia
Remote (US-friendly timezone)
We process 500 million events per day. Stack is Kafka + Spark on AWS, orchestrated via Airflow. It's held up, but end-to-end latency on our critical e...
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Posted 7 months ago
Applications closedInsuAI
Remote
Our ML training and inference costs went from $40k/month to $180k/month in 8 months. Nobody knows exactly why. We need an ML infra engineer to audit o...
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Posted 8 months ago
Applications closedWeldAI
Remote (EU timezone)
We have 14 ML models in production and feature engineering is duplicated everywhere. Each model team maintains their own pipelines. When one team fixe...
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Posted 9 months ago
Applications closedParcelFrame AI
Remote (US)
We help warehouses detect damaged parcels before they reach customers. Cameras capture packages at multiple points in the flow, but damage is subtle:...
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We serve 10M+ ML predictions per day and our on-call rotation is a disaster. Right now when something goes wrong at 2am, the engineer on call has no r...
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Posted 10 months ago
Applications closedSynaptic Labs
Remote (EU timezone preferred)
We need an experienced MLOps engineer for a 6-month engagement to help us migrate our ML model serving from a manual notebook-based workflow to a full...
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Role guide
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 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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