Pragmatike

The role involves designing, implementing, and optimizing custom CUDA kernels for NVIDIA GPUs to maximize occupancy, memory throughput, and warp efficiency. Responsibilities also include profiling GPU workloads, eliminating performance bottlenecks, and collaborating on GPU architecture decisions and kernel libraries.

The Senior Cloud Engineer will be responsible for building, deploying, and operating production infrastructure across AWS, GCP, and Azure, maintaining consistency using Infrastructure as Code like Terraform. This includes designing cloud networking, implementing monitoring, and supporting large-scale, distributed AI systems used by Fortune 500 customers.

The role involves leading the design, implementation, and scaling of the company's ML infrastructure and production AI systems across the entire model lifecycle. This includes architecting, building, and scaling the end-to-end ML Ops pipeline, from training and evaluation to deployment and monitoring.

Head of Machine Learning defining ML capabilities for an AI cybersecurity company

Director of Machine Learning defining ML capabilities for AI cybersecurity company

Principal AI/ML Engineer leading design and scaling of ML infrastructure at AI startup