Software Engineer – C#/.NET, Applied ML & Data Automation

About this role

Blueprint seeks a Software Engineer to build automation tools and apply machine learning to industrial telemetry data processing. You'll develop C#/.NET applications that transform device templates and standardize data for cloud pipelines, while refining classification models to reduce manual onboarding effort.

What you'll do

• Design and maintain C#/.NET automation tools, console applications, and Worker Services for data processing
• Build tooling to convert Excel device templates into structured CSV and pipeline-ready configurations
• Develop and improve ML models for telemetry tag classification and template-field mapping
• Perform feature engineering and data preparation on historical industrial telemetry datasets
• Prototype ML solutions in Python, then transition production logic to C#/.NET stack
• Validate data quality and mapping accuracy using Azure IoT, Event Hub, and Kusto/KQL

What they're looking for

• C# and .NET development (5+ years)
• Applied machine learning and classification models (3+ years)
• SQL and database design/modification
• Azure services (IoT, Event Hub, Kusto/KQL)
• Python for prototyping and data processing
• ML tools such as ML.NET, scikit-learn, or embeddings
• Full software development lifecycle
• Technical troubleshooting and root-cause analysis

Benefits

• Remote work location
• Exposure to diverse client projects and teams
• Hands-on experience with cutting-edge technology
• Collaboration with data science and product development teams
• Career growth and learning opportunities
• Team mentorship and knowledge-sharing culture

Likely interview questions

• Describe your experience building production automation tools in C#/.NET—what was the most complex workflow you've implemented?
• Walk us through a time you developed or refined a classification ML model. How did you evaluate and improve its accuracy?