AI/ML Engineer

Company Overview

Information on the company is currently not specified.

Job Summary

We are seeking a highly experienced and technically adept AI/ML Engineer to spearhead a strategic initiative focused on analyzing annual changes in IRS-published Tax Reference Codes (TRCs) and identifying their downstream impact on codebases. This role demands deep expertise in machine learning, knowledge graph construction, and software engineering processes, contributing significantly to the organization’s goals by delivering production-grade AI solutions in 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

• Experience: A minimum of 8+ years in software engineering, with at least 5 years specifically in AI/ML solution delivery.
• Technical Skills:
  • 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.
• Soft Skills:
  • 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 (e.g., Azure, AWS, GCP) and containerization (e.g., Docker, Kubernetes).
• Contributions to open-source AI/ML or graph-based projects.

Experience

• Years of Experience: Minimum of 8 years in software engineering and at least 5 years in AI/ML solution delivery.

Environment

Information regarding the typical work setting, location (remote, in-office, hybrid), and any physical or environmental conditions is currently not specified.

Salary

Estimated salary range is currently not specified.

Growth Opportunities

Potential career advancement opportunities within the company are currently not specified.

Benefits

List of offered benefits, such as insurance, paid leave, work policies, etc., is currently not specified.