Senior AI/ML Engineer

We are looking for a Senior AI/ML Engineer to design and implement the intelligence layer for a competitive intelligence MVP.

The role involves building a product matching engine using LLMs, embeddings, and vector search, developing ML scoring models, and integrating a human-in-the-loop (HITL) review interface. You will work within an Azure-first architecture (Azure OpenAI, Databricks, Azure AI Search, Azure Functions) and collaborate closely with data engineering and BI teams to deliver production-ready solutions in a fast-paced timeline.

Key Responsibilities

AI/ML Development o Build product matching engine using embeddings and vector search (Azure AI Search).

o Train and deploy ML scoring models for match confidence. o Implement feedback loops from HITL UI for continuous improvement.

Data Preparation o Define and validate schemas for normalized product data (Silver layer).

o Ensure data quality, deduplication, and unit/size normalization.

Integration & Deployment o Expose ML models as APIs (Azure Functions/FastAPI). o Implement MLOps practices (MLflow, CI/CD, monitoring, drift detection).

o Collaborate on HITL UI integration and Gold layer stabilization.

Collaboration & Documentation o Work with Data Engineering and BI teams for end-to-end delivery.

o Provide architecture diagrams, runbooks, and model documentation.

Requirements

Must-Have Skills

5+ years in AI/ML engineering with production deployments.

Expertise in Azure OpenAI, embeddings, vector search, and semantic retrieval.

Strong Python (pandas, scikit-learn; PyTorch/TensorFlow a plus).

Experience with Databricks, MLflow, and Azure Functions.

Knowledge of document extraction (Azure Document Intelligence or similar).

Hands-on MLOps: CI/CD pipelines, model registry, monitoring.

Nice-to-Have

Retail/product data experience (unit/pack normalization).

HITL UI development (React/Streamlit).

Familiarity with IaC (Bicep/Terraform) and Power BI integration.