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Solutions Architect – Contractor
Mindbeam AI. Architect and optimize end-to-end AI infrastructure solutions using Mindbeam’s frameworks.
Tech Stack
Tools & technologiesAWSCloudDockerEC2KubernetesPyTorchTensorflow
About the role
Key responsibilities & impact- Architect and optimize end-to-end AI infrastructure solutions using Mindbeam’s frameworks.
- Develop integrations with channel partner technologies.
- Guide clients through technical evaluations, deployments, and optimizations.
- Collaborate with internal teams to align architecture with customer needs.
- Present solutions clearly in client-facing engagements.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field—or equivalent work experience.
- 2+ years of experience in AI/ML architecture, implementation, or technical consulting.
- Strong knowledge of ML frameworks (PyTorch, TensorFlow, JAX) and distributed computing.
- Hands-on expertise with Kubernetes (EKS/EC2), Docker, and cloud platforms (AWS, NVIDIA).
- Familiarity with DevOps practices, security, and compliance in enterprise settings.
- Excellent problem-solving skills in production environments.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI infrastructureML architectureML frameworksPyTorchTensorFlowJAXdistributed computingKubernetesDockerDevOps practices
Soft Skills
problem-solvingclient engagementcollaborationtechnical evaluationcommunication
Certifications
Bachelor’s degreeMaster’s degree