Azure ML Engineer​/Machine Learning Engineer

Role Description Must Have Technical/Functional Skills

Azure;
Core .NET Technologies;
Azure ML

An ML Engineer designs, builds, deploys, and maintains end to end machine learning solutions across data ingestion, model training, and production deployment systems.

Capable of developing data pipelines and implementing ML models using Python while also having a basic understanding of integrating models into existing application layers (APIs / services).Microsoft SFI knowledge and experience in creating secure ML infrastructure aligned with enterprise security standards.

Capable of building and maintaining MLOps / CI CD pipelines for automated model training, validation, and deployment using secure connections and identity based access.

Good to have AI engineering skills as team is building custom co pilots and intelligent agents.

We have an opening for a Azure ML Engineer / Machine Learning Engineer in Washington, DC, United States within IT & Technology, Engineering.