AI/Machine Learning Engineer (Python)

TL;DR

AI/Machine Learning Engineer (Python): Designing and deploying AI/ML models to automate internal workflows for a federal financial regulatory agency with an accent on ML pipelines and cloud integration. Focus on building production-ready automation solutions within AWS and ensuring strict federal security compliance.

Location: Remote (Must be authorized to work in the United States; certain roles may require U.S. citizenship and security clearance)

Salary: $120,000 - $160,000

Company

hirify.global provides high-quality software solutions for the federal sector, focusing on scalable systems for government agencies.

What you will do

• Design, develop, and deploy AI/ML models to automate internal workflow and review processes.
• Build and maintain ML pipelines within an AWS cloud environment.
• Collaborate with product and engineering teams to translate automation opportunities into production-ready solutions.
• Integrate ML capabilities into existing Java and React application workflows.
• Monitor model performance and iterate based on real-world outcomes and stakeholder feedback.
• Ensure all AI/ML implementations meet federal security and compliance requirements including FISMA and NIST 800-53.

Requirements

• Hands-on experience designing and deploying machine learning models in production environments.
• Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience building and maintaining ML pipelines in AWS cloud environments.
• Authorization to work in the United States (U.S. citizenship and ability to obtain security clearance may be required).
• Bachelor's Degree.

Nice to have

• Experience with natural language processing (NLP) or document classification.
• Familiarity with federal security frameworks (FISMA, NIST 800-53).

Culture & Benefits

• Fully remote work environment.
• Tech and Education stipend.
• Comprehensive benefits package with a company-matched 401(k) plan.
• Flexible PTO and paid holidays.
• Collaborative Agile team environment.