.NET Developer

About the role

We are seeking a .NET Developer with strong Python and AI/ML integration skills to design, develop, and maintain enterprise applications that incorporate machine learning models and data science workflows. This role bridges backend .NET development with Python-based data processing, model deployment, and cross-functional collaboration with Data Science teams.

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

Requirements

• 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
• 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
• 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
• 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
• Experience integrating Python-based ML components with .NET applications
• Understanding of production deployment, testing, monitoring, and troubleshooting
• Knowledge of REST APIs, service integration, and application performance optimization