MLOps Field Engineer
Core
Design, architect, and deploy AI/ML, MLOps, and cloud infrastructure solutions for enterprise customers using open source technologies and public/private clouds.
Role type
Senior IC MLOps Field Engineer (Solution Architect)
Builds
AI/ML architectures, data engineering pipelines, and cloud infrastructure solutions
Domain
Enterprise AI/ML, Cloud Infrastructure, Open Source Technologies
Deliverable
production ML models | infrastructure
Required skills
MLOps, Kubernetes, Linux, Cloud Infrastructure (AWS/Azure/GCP), Python, Distributed Systems, Data Processing Pipelines, Solution Architecture
Preferred skills
R, Rust, OpenStack, Spark, Kubeflow
Technologies
Kubernetes, Kubeflow, OpenStack, Spark, AWS, Azure, Google Cloud, Linux
Responsibilities
Design and architect AI/ML and cloud infrastructure solutions aligned with customer workloads; Deploy, test, troubleshoot, and validate technical solutions before handover; 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 and achieve commercial objectives; Work with product teams to influence technical roadmaps based on customer insights.
Seniority
Senior, hands-on IC with customer-facing responsibilities