Machine Learning Engineer

Pantheon Data • Charlotte, NC

6d • Remote

About The Position

Pantheon Data is seeking a Machine Learning Engineer to join our core product team. This role focuses on the development and maintenance of Intelligent Document Processing (IDP) and Generative AI solutions within secure federal environments. The ideal candidate possesses strong Python programming skills and hands-on experience deploying workloads in AWS. You will work alongside senior architects to build and support AI pipelines that process unstructured data for mission-critical federal applications, specifically leveraging managed AI services.

Requirements

• Minimum 4+ years of hands-on experience deploying solutions on AWS.
• Proficiency with Docker, EC2, S3, IAM, and lambda.
• Practical experience using AWS Bedrock to implement Large Language Model (LLM) solutions.
• Advanced skills in Python and common ML libraries (Pandas, NumPy, Scikit-learn).
• Basic understanding of the machine learning lifecycle, specifically regarding NLP and OCR technologies.
• Experience with Linux environments, Git version control, and Docker containerization and EKS.
• Ability to work effectively remotely in cross-functional teams.
• Ability to meet deadlines and produce quality work.
• Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.
• U.S. Citizenship with the ability to obtain and maintain a DOD Secret clearance.

Nice To Haves

• Demonstrated experience operating within AWS GovCloud.
• Basic knowledge of Terraform and or CloudFormation for provisioning cloud resources.
• Previous experience developing code for government-hosted or highly regulated environments.
• AWS Certified Solutions Architect – Associate, or AWS Certified Machine Learning – Specialty.

Responsibilities

• Engineering clean, production-ready Python code for data ingestion, preprocessing, and model orchestration.
• Building and maintaining Generative AI workflows using AWS Bedrock for model invocation, embedding generation, and RAG-based implementations.
• Deploying and managing ML models using Amazon Bedrock, AWS Textract, and AWS Lambda within federal cloud boundaries.
• Building and optimizing automated pipelines for OCR and NLP workflows to enhance document intelligence.
• Managing data transformations and semantic search indexing using SQL/NoSQL and vector-enabled databases.
• Implementing security controls and data-at-rest encryption to meet FedRAMP and NIST standards within AWS GovCloud.
• Participating in Agile sprints to deliver iterative updates to Pantheon's core AI products.

Benefits

• Competitive salaries and benefits
• SmartBenefits through the Washington Metro Area Transportation Authority
• Tuition assistance may be available for continuing education expenses and certifications related to their position.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed