MLOps Engineer

A dedicated startup is being formed to industrialize and scale a secure, AI-enabled, multi-source decision-support software offering. The platform is a multi-sensor fusion and agentic AI solution connecting to diverse data sources (for example geospatial layers, imagery, video, and other operational signals). This role will support the delivery of a scalable product and contribute to establishing the processes, standards, and collaboration practices required for sustainable growth.

Job Responsibilities

• Design and operate end-to-end ML/LLM delivery pipelines: data to training/fine-tuning to evaluation to packaging to deployment
• Build CI/CD for models and services, including automated testing, validation gates, and rollback strategies
• Standardize experiment tracking, model/version lineage, and artifact management (datasets, prompts, checkpoints, embeddings)
• Implement monitoring and observability: latency, cost, drift, quality signals, an...