Machine Learning Engineer 2
Core
Build scalable APIs and Kubernetes environments to deploy and operate AI and machine learning models for Crowe's audit, tax, and consulting services.
Role type
Senior Machine Learning Infrastructure Engineer
Builds
Production-grade AI/ML serving platforms, REST/gRPC APIs, and Kubernetes clusters
Domain
Professional Services (Audit/Tax/Consulting) + Cloud Infrastructure
Deliverable
infrastructure
Required skills
Python, JavaScript, System Design, Distributed Computing, REST/gRPC APIs, Kubernetes, Cloud Platforms, Serverless Functions
Preferred skills
Azure AI Studio, CKAD, DevOps practices, Deep ML knowledge
Technologies
Kubernetes, Azure, Python, JavaScript, REST, gRPC, Websockets, Webhooks
Responsibilities
Design and develop backend services for AI workloads; Deploy and manage Kubernetes environments; Collaborate with ML teams to move solutions from PoC to production; Implement scalable system architectures; Ensure stability and security of AI deployments via testing and monitoring.
Seniority
Senior, hands-on IC
