AI Cloud Engineer
Lockedin Ai
Full-time · Senior
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AI Cloud Engineer
at Lockedin Ai
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At a glance on RemoteAI
- 23 reviewed professionals on RemoteAI match this role at 70% or more.
- Python: 2,161 of 3,363 reviewed AI professionals on RemoteAI list it (64%) — the most common skill this role asks for.
- Docker: 357 of 3,363 reviewed AI professionals on RemoteAI list it (11%).
- AWS: 323 of 3,363 reviewed AI professionals on RemoteAI list it (10%).
- Azure: 146 of 3,363 reviewed AI professionals on RemoteAI list it (4%).
- Kubernetes: 100 of 3,363 reviewed AI professionals on RemoteAI list it (3%).
- GCP: 81 of 3,363 reviewed AI professionals on RemoteAI list it (2%).
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About the role
Responsibilities
- Design and manage cloud infrastructure for AI and machine learning workloads
- Build scalable GPU-based environments for training and inference
- Optimize system performance, latency, and cloud costs
- Deploy and manage AI model serving systems
- Implement infrastructure using Infrastructure as Code tools such as Terraform
- Monitor system performance and ensure high availability
Requirements
- 3+ years of experience in Cloud Engineering, DevOps, or Infrastructure roles
- Hands-on experience with AI/ML workloads and GPU environments
- Strong experience with cloud platforms such as AWS, GCP, or Azure
- Experience with Kubernetes and containerized environments
- Familiarity with model serving tools such as Triton, vLLM, or similar is a plus
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Job Type
Full-time
Level
Senior
Language
English
Salary Range
$160k – $200k / year
AI Expertise
Skills
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