Azure ML Engineer / Machine Learning Engineer

Role Description

Must Have Technical/Functional Skills

Azure; Core .NET Technologies; Azure ML

Roles & Responsibilities:

• 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.