AI/Machine Learning Engineer [Contractor]

Role Summary

We are looking for a Senior AI/ML Engineer to lead the architecture of a next-generation LLM enrichment pipeline within an enterprise Knowledge Graph for a global CPG/Food leader. In this role, you will leverage Microsoft Fabric IQ and Azure OpenAI to transform unstructured product data into high-value, structured metadata at scale (dietary classifications, flavor profiles, and sourcing attributes). You will have end-to-end ownership of taxonomy design, prompt engineering strategies, and evaluation frameworks, ensuring high precision before models are handed off for human-in-the-loop review.

Key Responsibilities

• Design taxonomy for LLM classification (dietary, flavor, use case, sourcing) with the Data Architect and Director of AI
• Design and iterate prompts for entity classification and metadata generation across products, recipes, and ingredients
• Build an evaluation harness to measure enrichment accuracy, coverage, and drift
• Implement the enrichment pipeline in Azure OpenAI with a human review step before writing to the graph
• Support entity resolution (matching recipe ingredients to Salsify products, disambiguating variants like ground vs. whole peppercorn) with backend engineering
• Define escalation paths for dietary/health claim outputs needing regulatory or Director of AI sign off
• Tune model selection and quality thresholds against the review policy
• Document taxonomy decisions, prompt versions, and evaluation results

Required Qualifications

• Solid experience in ML/AI engineering with hands-on LLM classification or enrichment pipeline experience
• Strong Python; prompt engineering and structured output generation (JSON schemas, function calling)
• Hands-on experience with Azure OpenAI or an equivalent LLM API
• Experience building evaluation/benchmarking frameworks for model outputs
• Experience building human-in-the-loop review workflows
• Familiarity with taxonomy or ontology-driven data models
• Working knowledge of vector search/embeddings for semantic matching

Nice to Have

• CPG, retail, or food industry experience, especially dietary/health claim content
• Familiarity with schema.org, JSON-LD, and GEO
• Experience with Microsoft Fabric/Fabric IQ
• Microsoft certifications: Azure AI Engineer Associate or equivalent

Remote Work

This position is remote-friendly.