.NET Developer / Architect AI/ML Integration (Full Time/ONSITE)

Job Title: .NET Developer / Architect AI/ML Integration (Onsite)

Location: Columbia, MD
Job Type: Full-Time

Experience Level: 10+ Years (including architecture and AI/ML exposure)

Job Summary:

We are seeking a highly skilled .NET Developer/Architect with proven experience in AI/ML integration to lead the design, development, and implementation of modern, intelligent enterprise applications. The ideal candidate brings deep expertise in Microsoft technologies, cloud-native development, and microservices architecture, along with a practical understanding of applying AI/ML in business-critical systems.

Key Responsibilities:

• Architect, design, and develop scalable .NET applications using C#, ASP.NET Core, Web APIs, and Entity Framework.

• Define and implement solution architectures that integrate AI/ML pipelines with .NET-based backend systems.

• Collaborate with Data Scientists and ML Engineers to integrate machine learning models via REST APIs, containers, or embedded inference.

• Lead the modernization of legacy systems, including transitioning from monolithic to microservices or serverless architectures.

• Apply AI/ML capabilities such as predictive analytics, NLP, and anomaly detection to solve complex business problems in domains such as healthcare, logistics, and finance.

• Design and optimize data pipelines for machine learning model training and inference using Azure, AWS, or Google Cloud Platform.

• Ensure solutions are secure, scalable, performant, and support CI/CD best practices.

• Provide technical leadership, conduct code reviews, and mentor junior team members.

• Continuously evaluate and incorporate emerging technologies, frameworks, and AI/ML trends into the development process.

Required Skills & Qualifications:

• 8 12 years of experience in .NET development, with at least 3 years in a senior architectural or technical leadership role.

• Deep expertise in:

• C#, .NET Core, ASP.NET Core

• Microservices architecture, RESTful APIs

• Containerization and orchestration with Docker and Kubernetes

• Cloud platforms: Azure, AWS, or Google Cloud Platform (App Services, Functions, AKS/EKS, etc.)

• Databases: SQL Server, Cosmos DB, MongoDB

• Experience working with:

• AI/ML frameworks such as Python, TensorFlow, PyTorch, or ML.NET

• Model deployment via APIs, containers, or cloud-native ML services

• Data engineering tools like Pandas, Spark, and Azure Data Factory

• Proficiency in CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins

• Understanding of AI ethics, model explainability, and governance considerations

• Bachelor s or master s degree in computer science, Engineering, or a related field

Preferred Qualifications:

• Hands-on experience with ML.NET, ONNX, or OpenAI/GPT APIs

• Knowledge of MLOps practices for automated model training, testing, and deployment

• Relevant cloud certifications (e.g., Microsoft Certified: Azure Solutions Architect, AWS Certified Machine Learning Specialty)