2.0 - 7.0 years

10 - 15 Lacs

Noida

Work from Office

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.

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