AI/ML Engineer with .NET

Sr AI/ML Engineer with a background in .NET technologies
15+ years strong cons only

. The ideal candidate will be responsible for designing and implementing
intelligent solutions that leverage AI and ML models, integrating them
seamlessly with . .NET-based applications and services.
Remote
Primary skill must :

Semantic Kernel (Microsoft), Agentic AI, Q&A model,
RAG, .NET Core, Lang, LLM


Key Responsibilities:

Design, develop, and deploy AI/ML models to solve business challenges.

Integrate AI/ML components into .NET applications (using C#, , etc.).

Build APIs and microservices for AI-driven features using .NET/ .Net Core

Work with data engineers to collect, clean, and preprocess data.

Use frameworks like TensorFlow, PyTorch, or to train models.

Optimize model performance and ensure scalability in production.

Collaborate with cross-functional teams (DevOps, Product, QA).

Stay updated with AI/ML trends and apply best practices.



Required Skills:

5+ years of experience in .NET development (C#, , .NET Core).

5+ years of experience in AI/ML model development and deployment.

Proficient in Python and popular ML libraries (scikit-learn, TensorFlow,
PyTorch).

Experience with or
integrating external ML models into .NET apps.

Strong understanding of REST APIs, JSON, and cloud services (Azure preferred).

Solid knowledge of data structures, algorithms, and statistics.

Familiarity with CI/CD pipelines and version control systems (e.g., Git).

Solid exposure on GenAI, Langchain, LLM, RAG, DevOps, worked in ingesting
unstructured data



Experience with Azure Machine Learning or AWS SageMaker.

Exposure to NLP, computer vision, or time series forecasting.

Docker and Kubernetes.

Prior work in building AI-powered products or tools.