Accelerate AI product development by operationalizing LLMs end-to-end — from fine-tuning and evaluation to high-performance serving, monitoring, and embeddings workflows. * Improve performance and resilience of AI systems by managing Kubernetes clusters, optimizing autoscaling, and orchestrating GPU-heavy workloads. * Strengthen data quality and model performance through well-designed ETL/ELT pipelines, streaming systems, feature store integration, and workflow orchestration. * Reduce operational risk by embedding security and compliance best practices — IAM, RBAC, VPC design, secrets management, and encryption — into every layer of the stack.
mehr