Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues
Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability
Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations
Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements
Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges
Requirements
5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads
Proficiency in Infrastructure as Code tools like Terraform and Ansible
Experience with Kubernetes and Python programming
Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL)
Customer-centric approach with proven ability to build trust and foster long-term relationships
Strong ability to explain technical concepts to technical and non-technical audiences
Done for you
We'll apply to this for you
Denidel's HR team submits and tracks the application on your behalf.
