Note: The job is a remote job and is open to candidates in USA. Q1 Technologies, Inc. is seeking an Azure AI/ML Engineer to design, build, deploy, and maintain end-to-end machine learning solutions. The role focuses on developing data pipelines and ML models, integrating models into applications, securing ML infrastructure, and implementing MLOps/CI/CD pipelines, with opportunities to build custom copilots and intelligent agents.
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
Skills
- Azure; Core .NET Technologies; Azure ML
- 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
Company Overview
Company H1B Sponsorship