MLOps Field Engineer
Core
Design and deliver modern AI/ML architectures and cloud infrastructure solutions for enterprise customers, combining technical consulting, solution architecture, and hands-on implementation.
Role type
MLOps Field Engineer (Technical Consultant/Solution Architect)
Builds
AI/ML, MLOps, data engineering, and cloud infrastructure solutions for enterprise customers
Domain
Cloud Infrastructure, Machine Learning Operations, Big Data, Enterprise Software
Deliverable
production ML models | infrastructure
Required skills
MLOps, Kubernetes, Linux, Cloud Platforms (AWS/Azure/GCP), Python, Distributed Systems, Data Processing Pipelines, Open Source Technologies
Preferred skills
R, Rust, Infrastructure Automation
Technologies
Kubernetes, Kubeflow, OpenStack, Spark, AWS, Azure, Google Cloud, Linux
Responsibilities
Design and architect AI/ML, MLOps, data engineering, and cloud infrastructure solutions; Deploy, test, troubleshoot, and validate technical solutions; Engage directly with customers to understand requirements and recommend solutions; Deliver technical presentations, demonstrations, and training sessions; Collaborate with sales teams to support customer engagements; Work with product teams to influence technical roadmaps.
Seniority
Mid-Senior, hands-on IC with customer-facing responsibilities