Hire Specialist MLOps Engineers
Onboarding SLA: 48 Hours • Rate Band: $95 - $150 / hr
Hire pre-vetted MLOps engineers specializing in Kubernetes GPU cluster orchestration, vLLM inference serving, Prometheus token latency telemetry, and automated model evaluation pipelines. Esaholic provides production-tested MLOps talent with 48-hour onboarding and rate bands from $95 to $150 per hour.
What a Specialist MLOps Engineer Delivers
Configuring Kubernetes auto-scaling GPU node pools, Helm deployments, and zero-downtime rolling model updates.
Building Grafana dashboards for token latency SLAs, cost tracking, and automated LLM-as-a-judge evaluation pipelines.
Rate Bands & Engagement Terms
Full-time dedicated MLOps engineer managing Kubernetes clusters, CI/CD, and vector index sync pipelines.
Enterprise infrastructure lead for multi-region failover, private VPC PrivateLink, and SOC 2 telemetry isolation.
Hire Pre-Vetted MLOps Engineers
Frequently Asked Questions
What infrastructure toolstacks do Esaholic MLOps engineers manage?↓
Our MLOps engineers manage Kubernetes (EKS/GKE), Helm charts, vLLM inference clusters, Prometheus/Grafana, MLflow, and Vercel/Cloudflare edge microservices.
How do MLOps engineers ensure sub-50ms p95 retrieval SLAs?↓
MLOps leads configure AWS PrivateLink VPC endpoints, vLLM PagedAttention memory pools, and semantic Redis response caching.