AI/ML Engineer

Company Overview

Company details are not specified.

Job Summary

The role of the AI/ML Engineer is to lead a strategic initiative aimed at analyzing yearly changes in IRS-published Tax Reference Codes (TRCs) and understanding their downstream impact on codebases. The selected candidate will leverage deep expertise in machine learning and software engineering, contributing to the development of production-grade AI solutions within complex enterprise environments.

Responsibilities

• Design and develop an AI/ML-based system to detect and analyze differences in IRS TRC publications year-over-year.
• Implement knowledge graphs to model relationships between TRC changes and impacted code modules.
• Collaborate with tax domain experts, software engineers, and DevOps teams to ensure seamless integration of the solution into existing workflows.
• Define and enforce engineering best practices, including Continuous Integration/Continuous Deployment (CI/CD), version control, testing, and model governance.
• Drive the end-to-end lifecycle of the solution—from data ingestion and model training to deployment and monitoring.
• Ensure scalability, performance, and reliability of the deployed system in a production environment.
• Mentor junior engineers and contribute to a culture of technical excellence and innovation.

Qualifications

• 8+ years of experience in software engineering, with at least 5 years focused on AI/ML solution delivery.
• Strong understanding of tax-related data structures, especially IRS TRCs, is a plus.
• Expertise in building and deploying machine learning models using Python, TensorFlow/PyTorch, and ML Ops frameworks.
• Hands-on experience with knowledge graph technologies (e.g., Neo4j, RDF, SPARQL, GraphQL).
• Deep familiarity with software architecture, microservices, and API design.
• Experience with Natural Language Processing (NLP) techniques for document comparison and semantic analysis.
• Proven ability to lead cross-functional teams and deliver complex projects on time.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience working on regulatory or compliance-driven AI applications.
• Familiarity with code analysis tools and static/dynamic code mapping techniques.
• Exposure to cloud platforms (Azure, AWS, Google Cloud Platform) and containerization (Docker, Kubernetes).
• Contributions to open-source AI/ML or graph-based projects.

Experience

• Minimum of 8+ years of experience, with a focus on AI/ML and software engineering.

Environment

Details regarding the typical work setting and location are not specified.

Salary

Salary details are not specified.

Growth Opportunities

Career advancement opportunities within the company are not specified.

Benefits

Details regarding offered benefits are not specified.