Role overview
- 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, aggregating, and exposing data
- Implement backend aggregation layers leveraging Databricks outputs
- Design and maintain clean data contracts and API schemas
- Collaborate closely with frontend development to ensure APIs are optimized for UI consumption
- Implement and operationalize ML- and data-driven product features in the frontend using TypeScript
- Present complex data and model outputs using ReCharts and **D3.js
- Integrate outputs from Databricks ETL and ML workflows
- Ensure scalable and maintainable data access patterns
- Contribute to architectural decisions for ML and backend systems
- Maintain CI/CD pipelines for APIs and ML deployments
- Implement automated testing and monitoring tools
- Experience with C#/.NET development
- Proficiency in Python for ML integration and model packaging
- Experience deploying ML models into production systems
- Experience designing RESTful APIs
- Experience integrating cloud-based data pipelines (preferably Databricks)
- Experience working with frontend technologies (TypeScript)
- Experience building data visualizations or UI components for data-heavy applications
- Experience with CI/CD tools (Azure DevOps, GitHub Actions)
Preferred qualifications
- 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
About the company
- 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
Tags & focus areas
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