Role Expectations
* 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.
Background
* 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.
About You
You combine technical depth with strong communication skills, making you a trusted partner to both engineers and executives. You approach challenges with curiosity, creativity, and a willingness to experiment boldly.
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