MARSS Group
FR - MLOps Engineer - Data Infrastructure
The MLOps Engineer will build and maintain the data infrastructure and automation for an AI team, focusing on offline-capable environments and data pipeline management. The role involves managing Linux servers, containerization, and ML lifecycle tools like MLflow or DVC to support data workflows.
On-Prem Data Engineer: Complex Pipelines & Offline-First
MARSS Group is hiring a Data Engineer to design and manage on-premise data pipelines and architectures for diverse data types, including sensor and media data, with a focus on offline-first and edge-first capabilities.
Data Engineer: On-Prem Complex Pipelines & Offline-First
Build and maintain on-prem data pipelines for AI workloads handling images, video, and time-series data in an offline-first, air-gapped environment.
Data Engineer – Complex Data Pipelines (On-Premise)
Data Engineer building on-premise, air-gapped data pipelines from scratch for structured data, images, video, and sensor/time-series data using Python and SQL on self-managed bare-metal infrastructure.