Hybrid Machine Learning Backend Engineer, C#/Python

at Secomea

• Job title: Machine Learning Backend Engineer, C#/Python
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, ETL, Python, .NET
• Location requirements: Hybrid, Denmark

About the role

• Machine Learning Backend Engineer deploying Python ML models in C# production environment. Working at the intersection of machine learning and software engineering for Secomea's OT cybersecurity solutions.

Responsibilities

• Deploy Python-based ML models into a C#/.NET production environment
• Package, optimize, and serve ML models (MLflow, ONNX, custom services)
• Implement both real-time and batch inference pipelines
• Ensure robust monitoring, logging, and automated deployments
• Build high-quality C# APIs for consuming and visualizing data
• Implement backend aggregation layers leveraging Databricks outputs
• Design and maintain clean data contracts and API schemas
• Integrate outputs from Databricks ETL and ML workflows
• Ensure scalable and maintainable data access patterns
• Maintain CI/CD pipelines for APIs and ML deployments

Requirements

• Experience with C#/.NET development
• Experience integrating cloud-based data pipelines (preferably Databricks)
• Proficiency in Python (for ML integration and model packaging)
• Experience deploying ML models into production systems
• Background in designing RESTful APIs
• Experience with CI/CD tools (Azure DevOps, GitHub Actions)

Benefits

• A performance-driven culture that rewards initiative and achievement
• A fast-growing, global scale-up shaping the future of OT and industrial cybersecurity
• Continuous personal and professional development opportunities
• A collaborative, inclusive environment where results and teamwork go hand in hand
• A strong sense of purpose — helping manufacturers secure the technologies that power our world