.NET MLOps Specialist (ML.NET & Azure ML) - Q125

.NET MLOps Specialist (ML.NET & Azure ML)

Location: Alpharetta, GA (willing to travel to client locations)

Employment Type: Full-Time (W2)

Role Overview

We are seeking a proficient .NET MLOps Specialist to streamline machine learning workflows using ML.NET and Azure ML. This role focuses on integrating MLOps practices with .NET and C# for efficient model deployment and management.

Key Responsibilities

Develop machine learning pipelines using ML.NET and C# to train, evaluate, and deploy models.

Integrate ML models into production systems with Azure ML for scalable inference and monitoring.

Automate model deployment and updates using MLOps practices and CI/CD pipelines with Azure DevOps.

Collaborate with data scientists to optimize ML workflows and ensure model accuracy and performance.

Manage model versioning, governance, and monitoring within .NET applications.

Ensure security and compliance of ML models in production environments.

Required Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

3 years of experience in .NET and C# development with a focus on machine learning and MLOps.

Proficiency in building ML pipelines with ML.NET and deploying models using Azure ML.

Experience with MLOps practices, including model deployment, monitoring, and CI/CD automation.

Strong understanding of integrating ML models into production applications.

Preferred Qualifications

• Familiarity with Azure DevOps for automating MLOps workflows and pipeline orchestration.

• Exposure to advanced ML frameworks like TensorFlow or PyTorch for integration with .NET applications.

• Knowledge of cloud-based data preprocessing tools like Azure Data Factory for ML pipelines.

Compensation & Benefits

Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).

Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.