Azure ML Engineer: AI Models, MLOps & Secure Deployments

Purple Drive LLC; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Purple Drive LLC is seeking an ML Engineer in Washington, D.C. to design, build, deploy, and maintain end-to-end ML solutions spanning data ingestion, model training, and production deployment systems.

The role focuses on developing data pipelines and implementing ML models in Python, while integrating models into APIs/services. Familiarity with secure ML infrastructure and MLOps/CI-CD pipelines is required; experience with AI engineering for co-pilots and intelligent agents is a plus.

Qualifications

• Experience designing end-to-end ML solutions across data ingestion, model training, and deployment.
• Proficiency in Python for data pipelines and model implementation.
• Understanding of integrating ML models into APIs/services within applications.
• Knowledge of secure ML infrastructure compliant with enterprise security standards.

Responsibilities

• Design, build, deploy, and maintain end-to-end ML solutions across data ingestion, training, and production systems.
• Develop data pipelines and implement ML models using Python; integrate models with APIs/services.
• Create secure ML infrastructure aligned with enterprise security standards (Microsoft SFI knowledge advantageous).
• Build and maintain MLOps/CI-CD pipelines for automated training, validation, and deployment with secure connections and identity-based access.
• Contribute AI engineering skills for co-pilots and intelligent agents as part of product development.

Skills

Azure

Azure ML

Core .NET Technologies

Job description

Purple Drive LLC is seeking an ML Engineer in Washington, D.C. to design, build, deploy, and maintain end-to-end ML solutions spanning data ingestion, model training, and production deployment systems.

The role focuses on developing data pipelines and implementing ML models in Python, while integrating models into APIs/services. Familiarity with secure ML infrastructure and MLOps/CI-CD pipelines is required; experience with AI engineering for co-pilots and intelligent agents is a plus.