AI Integration Specialist: .NET Applications

4 days ago

Bengaluru, Karnataka, India Wiznucleus Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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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