Tech Stack
AnsibleAWSAzureCloudKubernetesPythonPyTorchTensorflowTerraform
About the role
- Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
- 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 - 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.
- (Added bonus) Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- (Added bonus) Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- (Added bonus) Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- (Added bonus) Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- (Added bonus) Proven experience mentoring technical teams and driving team growth.
- (Added bonus) Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.