[Hiring] Machine Learning Engineer @Pantheon Data

Role Description

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.

Responsibilities

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

Qualifications

• AWS Experience: Minimum 4+ years of hands-on experience deploying solutions on AWS.
• Proficiency with Docker, EC2, S3, IAM, and Lambda is required.
• AWS Bedrock Proficiency: Practical experience using AWS Bedrock to implement Large Language Model (LLM) solutions.
• Python Proficiency: Advanced skills in Python and common ML libraries (Pandas, NumPy, Scikit-learn).
• ML Fundamentals: Basic understanding of the machine learning lifecycle, specifically regarding NLP and OCR technologies.
• Technical Stack: 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.

Preferred Skills and Experience

• AWS GovCloud: Demonstrated experience operating within AWS GovCloud.
• Infrastructure as Code (IaC): Basic knowledge of Terraform and/or CloudFormation for provisioning cloud resources.
• Federal Environments: Previous experience developing code for government-hosted or highly regulated environments.
• Certifications: AWS Certified Solutions Architect – Associate, or AWS Certified Machine Learning – Specialty.

Clearance Requirements

• U.S. Citizenship with the ability to obtain and maintain a DOD Secret clearance.

Work Location

• United States - Remote
• Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
• If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.
• If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.

Compensation

The salary range for this position is $110,000 - $140,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Benefits

• Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.
• In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account.
• In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position.