Senior ML/AI Engineer

• Seeking a highly experienced and technically adept 

  AI/ML Engineer

  to spearhead a strategic initiative focused on analyzing annual changes in IRS-published TRCs and identifying their downstream impact on codebases.
• Role demands deep expertise in machine learning, knowledge graph construction, and software engineering processes.
• The ideal candidate will have a proven track record of delivering production-grade AI solutions in complex enterprise environments.

Key Responsibilities:

• Design and development of 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 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.

Required Skills & Experience:

• 8+ years of experience in software engineering, with at least 5 years in 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 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 Qualifications:

• 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, GCP) and containerization (Docker, Kubernetes).
• Contributions to open-source AI/ML or graph-based projects.

Skill Set Required -Must Have

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