Azure AI/ML Engineer

Q1 Technologies, Inc.; Bellevue (WA); On-site; USD 130,000 - 190,000; Full time

Job summary

Q1 Technologies, Inc. is seeking an ML Engineer to design, build, deploy, and maintain end-to-end machine learning solutions across data ingestion, model training, and production deployment.

The role emphasizes developing data pipelines, implementing ML models with Python, and integrating models into APIs and services, while leveraging MLOps practices and enterprise security standards.

Qualifications

• Experience designing end-to-end ML solutions from data ingestion to deployment.
• Proficiency in Python for ML model development and data processing.
• Understanding of secure ML infrastructure aligned with enterprise security standards.
• Experience building and maintaining CI/CD pipelines for ML models.

Responsibilities

• Design and implement data ingestion and model training pipelines.
• Develop, validate, and deploy ML models into production environments.
• Maintain and monitor ML systems with secure access controls.

Skills

Python

ML Pipelines

MLOps

CI/CD

APIs / Services

Job description

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.