ML/AI Engineer (ID107)
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Job Description
AI/ML Engineer About Forgis
“The defence of our liberty begins in the factory”
A West that cannot build cannot defend itself, cannot set its own terms, cannot stay free. For a generation
the West treated its industrial base as a cost to be exported and woke up dependent, for the things that
matter most, on supply chains it does not control. Bringing production home is no longer nostalgia. It is
sovereignty. But reshoring cannot win the way the old factories lost: on cheap labour. It can only win on
intelligence.
That is what Forgis builds, the intelligent layer for manufacturing plants. An orchestration platform that
integrates machines across vendors, hardware types, and applications, and brings real-time intelligence on
top: digital engineers that learn from data, make decisions, and continuously optimise production, from
configuring and validating lines to predicting failures and guiding operators. From a single interface, Forgis
turns disconnected automation into a unified, adaptive system: the factory's brain, Hyperion.
Your Role
AI/ML-Engineers at Forgis develop and deploy some of the most advanced machine learning models in
industrial environments. We work across a multitude of data modalities: time-series, vision, tabular and
natural language. Your goal is to be part of a team and contribute to building these world class in-house
machine learning models, deployed at all levels of the stack; edge, prem and cloud. You need to be proficient
in finding the signal in the noise when working with large and noisy data, when data is not present, you will
lead the team in planning how to get the data you require to win out. The job is not to just create models, the
job is to understand how unused data can be used to automate in Billion-Dollar settings and building that
pipeline.