AI & Cloud Expertise
We support our clients by sourcing and deploying highly skilled professionals across key domains, including:


Machine Learning & AI Operations (MLOps)
Engineers with hands-on experience deploying, monitoring, and optimizing machine learning models using frameworks like TensorFlow, PyTorch, ONNX, and Hugging Face.


GPU/TPU Infrastructure
Consultants experienced in managing high-throughput environments built on NVIDIA, AMD, and TPU-based architectures, supporting deep learning and LLM training workloads.


Cloud-Native Architecture
Experts in designing and deploying cloud-first environments using Kubernetes, Docker, Terraform, and CI/CD toolchains across AWS, Azure, and Google Cloud.


Data Engineering & Pipeline Optimization
Professionals skilled in real-time data ingestion, distributed storage systems (Snowflake, BigQuery, S3), and streaming frameworks such as Apache Kafka and Flink.


Security, Governance & DevSecOps
Resources who integrate AI/ML pipelines with enterprise-grade security protocols, compliance automation, and infrastructure as code (IaC).
Virpie Tech’s delivery model emphasizes agility, speed, and reliability. Our consultants are cleared, certified, and often pre-deployed on similar federal or high-compliance engagements, enabling us to reduce onboarding friction and accelerate time-to-value.
As your AI initiatives grow, Virpie Tech is positioned to serve as your long-term workforce enablement partner—helping you scale engineering teams, reduce overhead, and remain competitive in a fast-moving digital landscape.