Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Project Overview:

We're building a large-scale document intelligence platform that processes text files up to 5 TB in size, extracts insights using BERT-class NLP models, and surfaces answers to analysts via a low-latency query interface. The platform runs on Azure Kubernetes Service (AKS) with dedicated GPU node pools, uses KEDA for event-driven autoscaling, and integrates with Azure Data Lake Storage Gen2 and Azure OpenAI.

This is a hands-on role that sits at the intersection of platform engineering and applied ML, and requires someone who is equally comfortable debugging a CUDA out-of-memory error and designing a Kubernetes autoscaling policy. As the Senior ML Infrastructure Engineer the resource will own the end-to-end infrastructure layer — from GPU cluster configuration and CUDA runtime management to Kubernetes job orchestration and model serving.

Skill / Technology:

Level: Kubernetes / AKS
Expert: Multi-node-pool design, taint/toleration, autoscaler, GPU node pools (NC/ND series)
Senior: Device plugin, driver compat, resource limits, KEDA
Senior: Scaled Job, queue triggers, cooldown tuning, CUDA / cuDNN
Mid–Senior: Runtime config via PyTorch; raw kernel dev not required, PyTorch (GPU inference)
Senior: Batching, FP16, memory management, profiling, Hugging Face Transformers
Senior: BERT/DistilBERT/BGE loading, pipeline API, tokenization, Python (production)
Senior: Async workers, Azure SDK, queue consumers, Azure infrastructure
Senior: VNet, private endpoints, Key Vault, ADLS, AD, Docker / Helm
Senior: Multi-stage builds, Helm chart authoring, IaC (Terraform / Bicep)
Preferred: willingness to learn is acceptable

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Senior ML Infrastructure Engineer

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