Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads
Proficiency in Infrastructure as Code (IaC) 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 a proven ability to build trust and foster long-term relationships
Strong ability to explain technical concepts to technical and non-technical audiences
Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers
Strong project management skills, with the ability to prioritize tasks and deliver on deadlines
Proven experience mentoring technical teams and driving team growth
Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration