Pankh AI careers

We are building Pankh AI, a unified AI-driven cloud management and deployment platform that simplifies the process of managing cloud infrastructure, training, and deploying large-scale machine learning models. Our platform offers seamless integration with various cloud services (Azure, AWS, GCP), automated resource management, and intuitive user interfaces to streamline complex operations, making AI and cloud services more accessible and efficient for both enterprises and individual users.

Simplifying Cloud Complexity:
Cloud services are notoriously complex with steep learning curves, multiple configuration options, and fragmented tools. We are creating a platform that abstracts this complexity, offering a unified interface to manage diverse cloud resources, monitor costs, and optimize performance without needing deep cloud expertise.

Dynamic Resource Management and Scaling:
Handling dynamic workloads, especially for ML models, requires real-time scaling of resources like GPUs, storage, and compute power. We are building smart auto-scaling mechanisms that predict resource usage patterns and adjust in real-time to minimize costs and avoid performance bottlenecks.

Cost Optimization for High-Intensity Compute Workloads:
AI workloads are compute-intensive and can quickly escalate costs. Our platform uses AI-based resource allocation and automated scheduling to optimize cloud spend by up to 30-50%, ensuring high performance without unnecessary resource allocation.

Unified Model Deployment and Management:
Deploying and managing ML models (especially LLMs) at scale across different cloud environments is challenging due to the need for different configurations and dependencies. We solve this by providing a seamless multi-cloud deployment framework with pre-configured templates and automatic dependency resolution.