Senior .NET AI/ML Engineer

Job Details:
Skill set - Dot Net, Dot Net Scirpting, GEN AI, LLM, GCP, Vertex AI, VLLMs
Key Responsibilities:
Develop and maintain enterprise-grade applications using ASP.NET Core, .NET 6/7, and C#.
Build and optimize .NET scripts for automation, data processing, and AI/ML integration.
Integrate Generative AI (GenAI) and LLM capabilities into .NET applications using OpenAI, Azure OpenAI, or Vertex AI.
Collaborate with data scientists to build and deploy ML/DL models for predictive analytics, classification, and recommendation systems.
Implement NLP solutions for tasks such as text summarization, sentiment analysis, entity recognition, and conversational AI.
Use orchestration frameworks like Semantic Kernel or LangChain to manage LLM workflows and intelligent agent behavior.
Design and develop RESTful APIs and microservices to support AI-powered features.
Ensure secure integration with identity providers and secrets management tools (e.g., Azure Key Vault, GCP Secrets Manager).
Work with cloud services (Azure, GCP) including App Services, Cloud Functions, Cloud Run, Pub/Sub, and Cloud SQL.
Support CI/CD pipelines using Azure DevOps, GitHub Actions, or Cloud Build.
Required Skills & Experience:
10+ years of experience in .NET development and .NET scripting.
Strong experience with GenAI, LLMs, and AI/ML model integration.
Hands-on experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch).
Practical knowledge of NLP techniques and libraries (e.g., spaCy, Hugging Face Transformers).
Experience with cloud platforms (Azure, GCP) and cloud-native development.
Familiarity with Semantic Kernel, LangChain, or similar LLM orchestration frameworks.
Proficiency in C#, Entity Framework, SQL Server, and Web API development.
Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
Interview Process (Is face to face required?)
No