DevOps Engineer for AI Model Training
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Role details
Tech stack
Job description
Join a dynamic network of DevOps and Platform Engineering experts, connecting with leading AI labs and companies in need of your specialized skills. This opportunity allows you to engage in future contract projects that align with your background and interests, ensuring you are matched with relevant work as it becomes available. Key Responsibilities
- Train and evaluate AI models within the DevOps and Platform Engineering domain.
- Create tasks and deliverables based on real-world scenarios.
- Provide domain-specific feedback to advance cutting-edge AI research., Role Overview As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by leveraging your expertise in .NET and C#. Your contributions will directly i…
- 29 days ago
Requirements
- Professional experience with CI/CD pipelines, cloud infrastructure (AWS, GCP, Azure), and containerization & orchestration (Docker, Kubernetes).
- Strong communication skills.
- Ability to work independently in a remote environment.
Work Terms This is an open application to join our talent network, not a specific job posting. By applying, you will complete your profile and be considered for future opportunities. Compensation Hourly rates range from $70 to $150, depending on the project and your expertise. Eligibility Applicants must be able to work remotely and independently. Once your profile is completed and verified, you will be matched with projects that fit your skills and availability.
About the company
LiveView Technologies
- Seattle, WA
- $151,200 per year ABOUT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites …
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