production deployment , MLops, Pytorch, Openshift, Kubernetes, data pipelines, LLMOps, inference, distributed training, Red Hat AI Platform, vLLM, Kubeflow, agile DevOps, AI ML systems

Apis, Prometheus, Windows, Grafana, Linux, Kubernetes, AWS, Etl, Groundcover, message queues, cloud-native technologies, DevOps Support, Technical Support L1 and L2, observability tools, webhooks, Site Reliability Engineering

SAP, Linux, Kubernetes, Iot, Cloud Native, SUSE Rancher, Telco, Ai, EDGE

Strategic Account Planning, Client Relationship Management, Market Industry Expertise, Financial Management, Client Retention Satisfaction, Team Leadership Development, Business Development Growth, Project Oversight Execution

Distributed Systems, Programming Languages, GPGPUs, AI Accelerators, MLPerf, modern data center architectures, server LLMs, high-performance computing, vLLM Benchmarking

Syndicated data measures, Digital Commerce Analytics, AI embedding, Business intelligence, Analytical practices and methodologies, Analytical methodologies tools and technologies

Orchestration, Predictive Analytics, Gcp, Azure, Kubernetes, AWS, data pipelines, generative AI, AI infrastructure, GPUs, cloud platforms, MLflow, Ray, agentic systems, hybrid architectures, intelligent automation, observability tooling, model serving

Spark, Tensorflow, Golang, Rust, Restful Apis, Pytorch, Python, Kubernetes, Terraform, Apache Kafka, MLflow, Kubeflow, GitLab CI, LangChain, prompt engineering techniques