Azure AI/ML Engineer: Production Data Pipelines & MLOps

Analytica; Bethesda (AR); On-site; USD 120,000 - 150,000; Full time

Job summary

Analytica seeks a mid-Level AI-ML Engineer to design, build, and deploy production-grade AI solutions on Azure. You will work across data preparation, model development, and deployment, leveraging cloud-native AI and MLOps practices.

You’ll collaborate with data engineers, analysts, and stakeholders to deliver scalable, secure AI solutions that move from experimentation into daily operations. US citizenship and security clearance eligibility are required.

Qualifications

• 3+ years of hands-on experience developing and deploying AI/ML solutions in production.
• Strong Python skills with data analysis and ML libraries.
• Experience with Microsoft Azure data and AI services.

Responsibilities

• Build, deploy, and monitor production-grade AI/ML solutions on Azure.
• Design data pipelines and workflows using Azure Data Factory and ADLS Gen2.
• Collaborate with data engineers, analysts, and stakeholders throughout the AI lifecycle.
• Participate in CI/CD pipelines and MLOps practices for model lifecycle management.

Skills

Python

Data analysis

ML libraries

Agile

Education

Bachelor's degree in CS/DS/Engineering/Math

Tools

Azure DevOps

GitHub

Azure ML

Azure Data Factory

Azure Synapse

ADLS Gen2

Event Hubs

Job description

Analytica seeks a mid-Level AI-ML Engineer to design, build, and deploy production-grade AI solutions on Azure. You will work across data preparation, model development, and deployment, leveraging cloud-native AI and MLOps practices.

You’ll collaborate with data engineers, analysts, and stakeholders to deliver scalable, secure AI solutions that move from experimentation into daily operations. US citizenship and security clearance eligibility are required.