Role overview
Secomea is a leader in Operational Technology (OT) Automation and Cybersecurity for the manufacturing sector. We operate at the intersection of a fast-evolving ecosystem of machine builders, system integrators, and industrial customers.
As cybersecurity and compliance become essential to industrial operations, our mission is simple: to protect the factory floor.
Founded in 2008, Secomea has supported manufacturers and machine builders for more than 15 years. With headquarters in Denmark and offices in the US, China, and Japan — plus a network of 70+ global partners — we combine international reach with strong local expertise.
Our solutions connect securely to virtually any OT equipment, enabling organizations to control and protect technician access across multiple facilities — reducing response times, minimizing risk, and avoiding costly downtime.
What we're looking for
- Understanding of ML model lifecycle, training ML models (scikit-learn, PyTorch, TensorFlow), performance, and serving
- Familiarity with MLflow Model Registry
- Familiarity with Azure services (Functions, Container Apps, Data Lake, API Management)
- Experience with ONNX Runtime or TorchScript
- Understanding in event streaming data architecture (Kafka, Event Hubs, RabbitMQ)
- Knowledge of IaC tools (Terraform, Bicep)
- Experience with edge AI (running AI models on edge or embedded devices)
- Experience with ReCharts, D3.js, or similar data visualization libraries
Ready to take the next step? Click Apply and share your CV — no cover letter needed. We’d much rather get to know you in person.
Join Secomea and help us defend the factory floor.