Job 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 copilots and intelligent agents.
Generic Managerial Skills, If any
Open AI; DevOps
Azure AI/ML Engineer in seattle at Unknown Company
This position is listed as full time and onsite.