.NET AI & ML Developer

We are seeking a skilled and passionate .NET AI & ML Developer to join our technology team. The ideal candidate will have strong experience in .NET/.NET Core development with a focus on integrating Artificial Intelligence (AI) and Machine Learning (ML) solutions into real-world applications. You will work closely with cross-functional teams to develop, train, and deploy AI/ML models using technologies like OpenCvSharp, ONNX Runtime, and C#.

Key Responsibilities:

• Design, develop, and maintain .NET/.NET Core applications with AI & ML capabilities.
• Build, train, and deploy machine learning models using ONNX Runtime and other modern frameworks.
• Work with OpenCvSharp to integrate image and video processing into .NET-based applications.
• Apply ML principles in software development, including model serialization, inference, and optimization.
• Collaborate with data scientists, software developers, and product managers to deliver intelligent features.
• Ensure high-quality code that is maintainable, scalable, and aligned with best practices.
• Implement dependency injection, modular architecture,and clean code principles.
• Participate in code reviews, architecture discussions, and continuous improvement efforts.

Required Skills & Qualifications:

• Proven experience in .NET Framework and .NET Core development.
• Proficiency in C# programming language.
• Solid understanding of AI/ML fundamentals, model training, deployment, and serialization.
• Experience with OpenCvSharp or similar .NET image processing libraries.
• Strong knowledge of ONNX Runtime and deploying machine learning models in production.
• Experience integrating ML models into real-time or offline applications.
• Understanding of dependency injection and modern architectural patterns.
• Ability to write clean, efficient, and maintainable code.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Bachelors or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
• Experience working in Agile/Scrum developmentenvironments.
• Exposure to cloud platforms like Azure or AWS for ML model deployment.
• Familiarity with RESTful APIs and microservices architecture.