Trapped in a Remote Sensing degree but I want an MLOps Career
I’m currently pursuing my BS in Remote Sensing and GIS. For those outside the field, it’s basically the science of dealing with massive satellite data, geographic coordinate systems, and mapping the Earth.
The problem? I’ve realized my true passion isn’t traditional map-making or static analysis—I want to be an MLOps Engineer.
I've been teaching myself Web Development (HTML/CSS/JS) to build interfaces, and I've dived deep into machine learning infrastructure, model packaging, and deployment automation.
Every time I look at junior MLOps job postings, they ask for general software engineering or DevOps backgrounds. I feel like my degree title is going to get my resume thrown out instantly by recruiters who think I just make maps in ArcGIS all day.
But here is my theory: satellite imagery is notoriously painful to work with (multi-gigabyte files, multi-spectral bands, crazy data pipelines). It feels like the perfect playground for robust MLOps engineering.
I want some brutal honesty from the community:
Am I fighting an uphill battle? How hard is it to land an MLOps role when your formal background is in earth science/GIS instead of pure Computer Science?
How do I bridge the gap in my portfolio? Right now, I'm planning a project where I build a web app dashboard that automatically pulls open-source satellite data, runs it through a containerized computer vision model via a Docker/CI/CD pipeline, and renders the predictions interactively on a map. Is that enough to prove I can handle production-grade infrastructure?
Has anyone successfully transitioned from a specialized domain (like GIS/Remote Sensing) into core ML/Platform engineering? What was the turning point on your resume?
Thanks in advance. Feeling a bit stuck between what my degree says and what I actually want to build.