Required Skills: Azure, Core .Net, Azure ML, Open AI, DevOps
Job Description
AI/ML Engineer – Azure
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 copilots and intelligent agents.