AI Solution Architect
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Technical Process:
Proficiency with the command line and experience with both cloud-native and on-premise
data center deployments.
A strong understanding of deep learning architectures and the latest developments in Large
Language Models (LLMs).
Expertise in NVIDIA hardware and software including performance tuning and diagnostics.
Hands-on experience with GPU systems including performance testing tuning and
benchmarking.
Proficiency in programming languages such as Python.
A deep understanding of cloud service models (laaS PaaS SaaS) and cloud-native
architectures.
In-depth knowledge of networking storage and security best practices in a cloud context.
Experience with Infrastructure as Code (la) tools like Terraform or CloudFormation.
Familiarity with DevOps and MLORS principles and practices.
Soft Skills:
Exceptional problem-solving and analytical abilities with a data-driven approach. Excellent
communication and interpersonal skills capable of articulating complex technical concepts
to diverse audiences.
Proven ability to lead mentor and collaborate effectively within a team environment. A
strategic mindset with the ability to align technical solutions with overarching business
goals.
A proactive adaptable and continuous learner who thrives in a dynamic technological
landscape.
Proficiency with the command line and experience with both cloud-native and on-premise
data center deployments.
A strong understanding of deep learning architectures and the latest developments in Large
Language Models (LLMs).
Expertise in NVIDIA hardware and software including performance tuning and diagnostics.
Hands-on experience with GPU systems including performance testing tuning and
benchmarking.
Proficiency in programming languages such as Python.
A deep understanding of cloud service models (laaS PaaS SaaS) and cloud-native
architectures.
In-depth knowledge of networking storage and security best practices in a cloud context.
Experience with Infrastructure as Code (la) tools like Terraform or CloudFormation.
Familiarity with DevOps and MLORS principles and practices.
Soft Skills:
Exceptional problem-solving and analytical abilities with a data-driven approach. Excellent
communication and interpersonal skills capable of articulating complex technical concepts
to diverse audiences.
Proven ability to lead mentor and collaborate effectively within a team environment. A
strategic mindset with the ability to align technical solutions with overarching business
goals.
A proactive adaptable and continuous learner who thrives in a dynamic technological
landscape.
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
