You will develop and deploy advanced machine learning models across industrial environments, working with time-series, vision, tabular, and natural language data. As part of a world-class team, you’ll build in-house models for edge, on-prem, and cloud deployment, transforming unused manufacturing data into automated intelligence for billion-dollar settings.
AI/ML Engineer at Forgis
Join Forgis in Zürich to build the "factory's brain." We are creating an orchestration platform that integrates industrial hardware with real-time intelligence to ensure Western industrial sovereignty. You'll develop advanced ML models across vision, time-series, and NLP, deploying them from the edge to the cloud to automate billion-dollar manufacturing environments. If you are an EU citizen or Swiss graduate looking to solve the hardest problems in industrial AI, this is your chance to build the future of production.
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Location
Zürich, Switzerland
Compensation
Not Disclosed
Company
Forgis
Role overview
SoftwareZurich, SwitzerlandPre-Seed (VC-backed)
Forgis is a Zürich-based AI and software startup founded in 2025 that develops innovative, hardware- and application-agnostic software solutions to automate industrial machines and manufacturing plants. Their technology acts as an intelligent layer or AI co-pilot to accelerate robot programming, enhance factory automation, reduce downtime, increase throughput, and enable reshoring of production by making automation more cost-effective and flexible. Forgis targets the automotive and advanced manufacturing sectors, aiming to improve efficiency and productivity with AI-driven industrial intelligence.
Backed by Redalpine, Venture Kick, Founderful Campus, S2S Ventures, Talent Kick, Gebert Rüf Stiftung, Massimo Banzi, David Shapira, Tine Petric.
What you will do
- Design and deploy advanced ML models at all levels of the stack, from edge devices to the cloud.
- Extract signal from massive, noisy datasets and lead data acquisition strategies where information is missing.
- Build end-to-end pipelines that transform raw industrial data into real-time decision-making and production optimization.
Who this is a fit for
- Must hold an EU passport or a degree from a Swiss university with a maximum three-month notice period.
- Exceptional proficiency in at least two areas: time-series analysis, fundamental statistics on messy data, or computer vision.
- Proven ability to deploy MLOps at scale and work with complex data modalities in real-world applications.
Why this role is remarkable
- Build “Hyperion,” the factory’s brain, providing a unified intelligence layer for global manufacturing sovereignty.
- Work across diverse modalities including time-series, vision, and NLP in high-stakes industrial environments.
- Direct impact on “bringing production home” by replacing cheap labor with world-class machine intelligence.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Forgis wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.