Overview:.NET MLOps Specialist (ML.NET & Azure ML)Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role OverviewWe 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