MLOps Field Engineer
Core
Designing and deploying AI/ML infrastructure and data processing pipelines for enterprise customers on public and private cloud infrastructure.
Role type
Senior IC MLOps Field Engineer (Solutions Architect)
Builds
Private and public cloud solutions for enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related analytics and machine learning technologies.
Domain
Enterprise open source, cloud computing, machine learning, AI, data engineering
Deliverable
production ML models | infrastructure | product features
Required skills
Linux stack expertise, Kubernetes architecture, cloud infrastructure design (AWS/Azure/GCP), Python programming, data engineering, MLOps, big data solutions deployment, containerization, networking, virtualization
Preferred skills
Experience with OpenStack, Spark, GPU sharing, hybrid cloud infrastructure, LLM training, real-time event processing, video stream analytics
Technologies
Kubernetes, Kubeflow, OpenStack, Spark, AWS, Azure, Google Cloud, Python, Linux, Ubuntu, MLFlow, Feast, DVC
Responsibilities
Architect cloud infrastructure solutions for customers, deploy and test solutions on-premise or in public cloud, collect business requirements and advise on open source applications, deliver presentations and demonstrations of AI/ML capabilities, liaise with product teams to influence roadmap, collaborate with sales teams to reach targets, travel internationally for events and customer meetings
Seniority
Senior, hands-on IC with customer-facing responsibilities