AI/ML Engineer with .NET

  • Posted 16 hours ago | Updated 16 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent

Skills

ML.NET
C#
ASP.NET
.NET Core
Python and popular ML libraries (scikit-learn
TensorFlow
PyTorch).

Job Details

  • Sr AI/MI Engineer

    and permanent residents.
    Remote

    Job Description:

    Sr AI/ML Engineer with a background in .NET technologies
    12+ 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.


    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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About AGUH INC