Job Title: AI Integration Specialist .NET Applications Job Summary We are seeking a dynamic and technically proficient AI Integration Specialist to join our .NET development team. This role is ideal for someone who thrives at the intersection of artificial intelligence and enterprise-grade application development. You will be responsible for embedding AI capabilities into .NET applications, optimizing workflows, and driving intelligent automation across platforms. Key Responsibilities Design and implement AI-driven features within .NET applications (e.g., predictive analytics, NLP, recommendation engines). Integrate machine learning models using APIs, SDKs, or custom pipelines. Collaborate with data scientists to deploy and monitor models in production environments. Develop and maintain scalable .NET services that interact with AI components. Optimize application performance and ensure seamless AI integration. Stay updated with emerging AI tools, frameworks, and Microsoft Azure AI services. Document architecture, workflows, and integration strategies. Required Skills & Qualifications Bachelors or Master’s degree in Computer Science, Engineering, or related field. 3+ years of experience in .NET development (C#, ASP.NET Core/MVC, Entity Framework). Strong expertise in SQL databases, designing queries, aggregations, and optimized data access is required. Experience with AI/ML, LLM tools, including on-premises LLMs Implementation, NLP libraries, and domain fine-tuning or instruction-tuning workflows. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX). Python is preferred for AI/NLP components. Proficiency in integrating AI services (Azure Cognitive Services, OpenAI APIs, ML.NET). Strong understanding of RESTful APIs, microservices, and cloud-native architectures. Familiarity with data preprocessing, model deployment, and versioning. Excellent problem-solving and debugging skills. Preferred Skills Experience with Azure Machine Learning or AWS SageMaker. Knowledge of MLOps practices and CI/CD pipelines for AI workflows. Exposure to chatbot development, computer vision, or voice recognition.
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