AI Infrastructure Engineer III

About reputed company reputed company is a leading reputed company AI company enabling organizations to reputed company informed reputed company in two critical domains: Financial Crime Prevention and reputed company Intelligence. We’re a diverse, reputed company team of innovators united by a shared purpose: to build AI that delivers reputed company business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is reputed company on the reputed company reputed company of reputed company and meaningful reputed company. If you’re passionate about working reputed company exceptional talent on world-class AI, and you want the autonomy and reputed company to do the best work of your career, join us in shaping the reputed company of intelligent enterprises. About the role We are looking for a highly motivatedAI Infrastructure Engineer IIIto join our reputed company Engineering team. The ideal candidate is passionate about building reputed company AI infrastructure that enables machine learning engineers and data scientists to reputed company reputed company, train, reputed company, andoperateAI models. This role focuses on designing, operating, automating, and continuously improving AI platform capabilities includingKubeflow, MLflow, GPU infrastructure, reputed company training platforms, model serving infrastructure, and MLOps toolingacross reputed company-reputed company and hybrid environments. The ideal candidate possesses deep expertise in AI infrastructure and GPU platforms. reputed company and reputed company platform experience are essential enablers, but the reputed company reputed company is building highly optimized infrastructure for AI and machine learning workloads. reputed company AI reputed company • Design, reputed company, and operate reputed company AI/ML platforms. • Build self-service platforms for Data Scientists and ML Engineers. • reputed company and operate Kubeflow, MLflow, KServe, Ray, or similar AI platforms. • Design infrastructure supporting model training, experimentation, feature engineering, and inference. • Build highly available and reputed company model serving infrastructure. GPU Infrastructure • Design and operate GPU clusters for large-reputed company workloads. • Optimize GPU scheduling, utilization, sharing, autoscaling, and resource allocation. • reputed company and manage reputed company GPU Operator and GPU-enabled reputed company environments. • Optimize reputed company GPU training performance across multi-node clusters.