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Full Time Ml Net Jobs (NOW HIRING)

iCatalyst Inc

Sr. AI Developer

Mclean, VA · On-site

$55 - $72.75/hr

Requirement ID#: 2026_05_SAID Job Type: Full Time Location: Washington D.C. Metropolitan Area (DC ... NET-based systems where applicable. * Contribute to CI/CD pipelines and deployment workflows using ...

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How much do full time ml net jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for full time ml net in the United States is $53.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $61.30 per hour, depending on experience, location, and employer.

What is the difference between Full Time Ml Net vs Full Time Data Scientist?

AspectFull Time Ml NetFull Time Data Scientist
Required CredentialsBachelor's in CS, Math, or related field; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong programming skills
Work EnvironmentTech companies, startups, research labsTech firms, finance, healthcare, consulting
Industry UsageFocus on machine learning model deployment and developmentBroader data analysis, modeling, and insights generation
Common Search/ComparisonFull Time Ml Net vs Full Time Data Scientist

While both roles involve data and programming, Full Time Ml Net primarily focuses on deploying and maintaining machine learning models, whereas Full Time Data Scientist encompasses a broader scope of data analysis, statistical modeling, and insights generation. The choice depends on whether you prefer specialized ML deployment or broader data analysis tasks.

More about Full Time Ml Net jobs
What are the most commonly searched types of Ml Net jobs? The most popular types of Ml Net jobs are:
What job categories do people searching Full Time Ml Net jobs look for? The top searched job categories for Full Time Ml Net jobs are:
Full Time Ml Net jobs near you
Infographic showing various Full Time Ml Net job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $111,761 per year, or $53.7 per hour.
.NET MLOps Specialist (ML.NET & Azure ML) - Q125

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

R2 Technologies Corporation

Alpharetta, GA • On-site

$53.75 - $66.75/hr

Full-time

Medical, Retirement, PTO

Posted 5 days ago

Job description

Overview:
.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.
Skills:
.NET, ML.NET, Azure ML, MLOps, Model Deployment, DevOps, C#, Machine Learning

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