.NET Developer
Staffing Spot, Inc. · Columbus, OH · 2 days ago
HybridContract
Key Responsibilities
- Design, develop, test, and maintain applications using C# and .NET.
- Write and maintain Python code for data processing, AI/ML integration, and analytical workflows.
- Integrate Python-based components, scripts, and machine learning models into .NET applications.
- Work with Data Science and AI/ML teams to integrate models into enterprise applications.
- Deploy, productionize, monitor, and maintain Data Science/ML models in production environments.
- Develop and optimize SQL queries, stored procedures, and database operations using Oracle and/or SQL Server.
- Build and maintain APIs and services to support model integration and data exchange.
- Troubleshoot application, database, and model integration issues.
- Ensure application performance, scalability, reliability, and security.
- Collaborate with cross-functional teams to deliver production-ready software solutions.
Required Skills
- C# / .NET Development
- Strong hands-on experience with C# and the .NET ecosystem.
- Experience developing enterprise applications, APIs, and backend services.
- Good understanding of object-oriented programming, design patterns, and debugging.
- Python Development & Integration
- Hands-on experience writing and understanding Python code.
- Ability to integrate Python scripts, libraries, and components into a .NET application environment.
- Understanding of Python-based data processing and application integration.
- Database Development (Oracle / SQL Server)
- Experience working with Oracle and/or SQL databases.
- Strong knowledge of SQL queries, joins, stored procedures, and database operations.
- Ability to troubleshoot and optimize database queries.
- Data Science / AI / ML Concepts
- Understanding of Data Science, Artificial Intelligence, and Machine Learning concepts.
- Experience deploying and productionizing Data Science/ML models.
- Understanding of model integration, inference workflows, and application-level consumption of model outputs.
- Ability to collaborate with Data Scientists and integrate their models into production applications.
- Python–.NET ML Integration
- Experience integrating Python-based ML components with .NET applications.
- Production Deployment & Monitoring
- Understanding of production deployment, testing, monitoring, and troubleshooting.
- APIs, Services & Performance
- Knowledge of REST APIs, service integration, and application performance optimization.
Skills
- C#
- Python
- Integration
- .NET
- Database
- Data Science
- SQL